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Multi-behavior Recommendation with Graph Convolutional Networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-snapshot

Modeling Relational Data with Graph Convolutional Networks

inferredcites →https://doi.org/10.1016/j.ins.2018.04.027openalex-snapshot

BPRH: Bayesian personalized ranking for heterogeneous implicit feedback

inferredcites →https://doi.org/10.1109/icde48307.2020.00019openalex-snapshot

Price-aware Recommendation with Graph Convolutional Networks

inferredcites →https://doi.org/10.1109/icdm.2011.134openalex-snapshot

SLIM: Sparse Linear Methods for Top-N Recommender Systems

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1145/1367497.1367618openalex-snapshot

Video suggestion and discovery for youtube

inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot

Factorization meets the neighborhood

inferredcites →https://doi.org/10.1145/1401890.1401969openalex-snapshot

Relational learning via collective matrix factorization

inferredcites →https://doi.org/10.1145/2487575.2487589openalex-snapshot

FISM

inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot

DeepWalk

inferredcites →https://doi.org/10.1145/2736277.2741093openalex-snapshot

LINE

inferredcites →https://doi.org/10.1145/2911451.2911489openalex-snapshot

Fast Matrix Factorization for Online Recommendation with Implicit Feedback

inferredcites →https://doi.org/10.1145/2939672.2939690openalex-snapshot

An Empirical Study on Recommendation with Multiple Types of Feedback

inferredcites →https://doi.org/10.1145/2959100.2959163openalex-snapshot

Bayesian Personalized Ranking with Multi-Channel User Feedback

inferredcites →https://doi.org/10.1145/2959100.2959169openalex-snapshot

Query-based Music Recommendations via Preference Embedding

inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot

Neural Collaborative Filtering

inferredcites →https://doi.org/10.1145/3178876.3186183openalex-snapshot

Pixie

inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

inferredcites →https://doi.org/10.1145/3240323.3240381openalex-snapshot

HOP-rec

inferredcites →https://doi.org/10.1145/3292500.3330989openalex-snapshot

KGAT

inferredcites →https://doi.org/10.1145/3308558.3313488openalex-snapshot

Graph Neural Networks for Social Recommendation

inferredcites →https://doi.org/10.1145/3308558.3313493openalex-snapshot

Collaborative Similarity Embedding for Recommender Systems

inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot

Neural Graph Collaborative Filtering

inferredcites →https://doi.org/10.1145/3366423.3380303openalex-snapshot

Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation

inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot

LightGCN

inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot

Item-based collaborative filtering recommendation algorithms

inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot

Session-Based Recommendation with Graph Neural Networks

inferredcites →https://doi.org/10.1609/aaai.v34i01.5329openalex-snapshot

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation

inferredcites →https://doi.org/10.21236/ada486804openalex-snapshot

Relational Learning via Collective Matrix Factorization

inferredcites →https://doi.org/10.24963/ijcai.2018/464openalex-snapshot

Improving Implicit Recommender Systems with View Data

inferredcites →https://doi.org/10.24963/ijcai.2018/521openalex-snapshot

A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction

inferredcites →https://doi.org/10.24963/ijcai.2018/539openalex-snapshot

Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot

BPR: Bayesian Personalized Ranking from Implicit Feedback

inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot

Semi-Supervised Classification with Graph Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.1902.07153openalex-snapshot

Simplifying Graph Convolutional Networks

inferredcites →https://doi.org/10.5281/zenodo.15206559openalex-snapshot

Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1002/ett.4728openalex-snapshot

Developing smart city services using intent‐aware recommendation systems: A survey

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Incorporating multi‐interest into recommendation with graph convolution networks

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A Behavior-Aware Graph Convolution Network Model for Video Recommendation

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Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation

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Modeling User Profiles Through Multiple Types of User Interaction Behaviors

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Multi-view Multi-behavior Contrastive Learning in Recommendation

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Multi-behavior Recommendation with Two-Level Graph Attentional Networks

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MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation

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A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy

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Heterogeneous Graph Neural Network for Multi-behavior Feature-Interaction Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-20868-3_3openalex-snapshot

Co-contrastive Learning for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-25201-3_9openalex-snapshot

MORO: A Multi-behavior Graph Contrast Network for Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-26387-3_30openalex-snapshot

Bi-directional Contrastive Distillation for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_10openalex-snapshot

Intra- and Inter-behavior Contrastive Learning for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_18openalex-snapshot

Temporal-Aware Multi-behavior Contrastive Recommendation

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MixMBR: Contrastive Learning for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-33380-4_23openalex-snapshot

Multi-behavior Guided Temporal Graph Attention Network for Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-42508-0_34openalex-snapshot

An Improvement of Graph Neural Network for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-46674-8_25openalex-snapshot

Multi-Self-Supervised Light Graph Convolution Network for Social Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-54531-3_8openalex-snapshot

A Multi-behavior Recommendation Algorithm Based on Personalized Federated Learning

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Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach

inferred← citeshttps://doi.org/10.1007/978-3-032-06118-8_11openalex-snapshot

Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-032-21628-1_1openalex-snapshot

Fusion Models for Purchase Behavior Prediction in Multi-behavior Recommendation Systems

inferred← citeshttps://doi.org/10.1007/978-981-92-1926-1_21openalex-snapshot

Adaptive Multi-platform Multi-behavior Contrastive Learning for Enhanced E-commerce Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-92-2759-4_25openalex-snapshot

Ada-DVSA: Adaptive Dual-View Self-augmentation for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-92-5693-8_26openalex-snapshot

Cross-Behavior Knowledge Modeling Based on Mixture-of-Experts for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-92-5693-8_28openalex-snapshot

LIPKE: Multi-behavior Recommendation Based on Long-Short Interest Perception and Knowledge Enhancement

inferred← citeshttps://doi.org/10.1007/978-981-95-0218-9_15openalex-snapshot

Redefining Entity Integration: Theoretical Insights for GNN-Based Recommender Systems

inferred← citeshttps://doi.org/10.1007/978-981-95-3462-3_31openalex-snapshot

Diffusion-Augmented Hierarchical Graph Convolutional Network for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-95-4155-3_10openalex-snapshot

Self-supervised Dual Graph and Intention Association for Session-Based Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-95-4155-3_13openalex-snapshot

Diffusion Multi-behavior Recommender Model

inferred← citeshttps://doi.org/10.1007/978-981-95-7075-1_9openalex-snapshot

MGMRec: Learning Multi-granularity Representations for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-95-7251-9_2openalex-snapshot

Enhancing Multi-behavior Sequential Recommendation via Transformer-Based Cross-Layer Contrastive Learning

inferred← citeshttps://doi.org/10.1007/978-981-96-0570-5_11openalex-snapshot

The Research of Sequence Recommendation Method Based on Heterogeneous Enhanced Transformer with Multi-behavior Data

inferred← citeshttps://doi.org/10.1007/978-981-96-0570-5_7openalex-snapshot

MHHCR: Multi-behavior Heterogeneous Hypergraph Contrastive Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-96-0850-8_3openalex-snapshot

Graph Contrastive Learning for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-96-0850-8_7openalex-snapshot

Attention-Based Causal Graph Convolutional Collaborative Filtering

inferred← citeshttps://doi.org/10.1007/978-981-96-2376-1_24openalex-snapshot

Multi-behavior Recommendation with Dual Channel Behavior Perception Based on Graph Attention Network

inferred← citeshttps://doi.org/10.1007/978-981-96-6599-0_10openalex-snapshot

AMMCR: Adaptive Multi-view Multi-behavior Contrastive Learning Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-96-7807-5_6openalex-snapshot

Clustering-Driven Insights for Recommending Ideal Student Locations

inferred← citeshttps://doi.org/10.1007/978-981-96-8183-9_31openalex-snapshot

Multi-behavior Recommender Systems: A Survey

inferred← citeshttps://doi.org/10.1007/978-981-96-9849-3_12openalex-snapshot

True-To-Life Behavior Relationship Modeling for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-96-9881-3_9openalex-snapshot

Layer-Wise Attention Aggregation Based Cascading Fusion Model for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-96-9911-7_13openalex-snapshot

Multi Hierarchical Time Structures Aware Passenger Preference Evolution for Personalized Flight Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-96-9986-5_24openalex-snapshot

Self-Supervised Graph-Optimized Cascading Disentangled GCNs for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-97-2262-4_11openalex-snapshot

HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-97-5555-4_11openalex-snapshot

Counterfactual Debasing for Multi-behavior Recommendations

inferred← citeshttps://doi.org/10.1007/978-981-97-5572-1_1openalex-snapshot

Cascading Graph Convolution Contrastive Learning Networks for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-97-5615-5_32openalex-snapshot

A Novel Multi-behavior Contrastive Learning and Knowledge-Enhanced Framework for Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-97-5618-6_24openalex-snapshot

Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning

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BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation

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Multi-behavior Recommendation with Hypergraph Contrastive Learning

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BPMCF: Behavior Preference Mapping Collaborative Filtering for Multi-behavior Recommendation

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A Graph-Based Relook Beyond Metadata for Music Recommendation

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A Multi-behavior Recommendation Based on Disentangled Graph Convolutional Networks and Contrastive Learning

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Deep GraphSAGE-based recommendation system: jumping knowledge connections with ordinal aggregation network

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Multi-behavior recommendation based on intent learning

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P$$^2$$CG: a privacy preserving collaborative graph neural network training framework

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Multi-behavior-based graph contrastive learning recommendation

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VCGAE++: variational collective graph autoEncoder for multi-behavior recommendation

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Enhancing deep learning with data envelopment analysis: market-oriented recommendation system for non-fungible tokens

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Dual-view co-contrastive learning for multi-behavior recommendation

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V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model

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Using composite attribute similarity multi-graph convolutional network for recommendation

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Self-supervised collaborative contrast learning for multi-behavior recommendation with adaptive fusion of cross dependency

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Popularity debiasing of multi-behavior recommendation via causal inference and data augmentation

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Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network

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Multi-neighbor social recommendation with attentional graph convolutional network

inferred← citeshttps://doi.org/10.1007/s10618-025-01138-yopenalex-snapshot

Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation

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Graph neural network based model for multi-behavior session-based recommendation

inferred← citeshttps://doi.org/10.1007/s10791-022-09412-zopenalex-snapshot

Exploring latent connections in graph neural networks for session-based recommendation

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Multi-behavior enhanced group recommendation for smart educational services

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Exploring the trie of rules: a fast data structure for the representation of association rules

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Enhancing signed social recommendation via extracting auxiliary textual information

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LSTM-UBI: a user behavior inertia based recommendation method

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MISR: a multiple behavior interactive enhanced learning model for social-aware recommendation

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Temporal-order association-based dynamic graph evolution for recommendation

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A novel heterogeneous hypergraph social network recommendation system

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AskMe: joint individual-level and community-level behavior interaction for question recommendation

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NAH: neighbor-aware attention-based heterogeneous relation network model in E-commerce recommendation

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TiDGRec: dual-graph modeling with target-intention filtering for session-based recommendation

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BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation

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Feature-enhanced web API recommendation via large language model and heterogeneous graph

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Dual graph attention networks for multi-behavior recommendation

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A cascaded embedding method with graph neural network for multi-behavior recommendation

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Self-supervised progressive graph neural network for enhanced multi-behavior recommendation

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Multi-behavior collaborative contrastive learning for sequential recommendation

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DMR: disentangled and denoised learning for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1007/s40747-025-01880-2openalex-snapshot

MB-AGCL: multi-behavior adaptive graph contrast learning for recommendation

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Multi-behavior aware recommendation with joint contrastive learning and reinforced negative sampling

inferred← citeshttps://doi.org/10.1007/s41019-023-00238-3openalex-snapshot

Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1007/s41060-025-00839-3openalex-snapshot

An inter- and intra-attention model for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1007/s41060-025-01019-zopenalex-snapshot

A comprehensive survey on multi-behavior recommender systems: extended taxonomy and recent advances

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Behavior lifetime modeling uses time sensitive behavioral signals to rank candidate items for purchase in E commerce recommendation

inferred← citeshttps://doi.org/10.1007/s44196-024-00408-9openalex-snapshot

Sequence-Aware Graph Neural Network Incorporating Neighborhood Information for Session-Based Recommendation

inferred← citeshttps://doi.org/10.1007/s44196-026-01198-yopenalex-snapshot

A Review on Multi-Types Analysis for Graph Neural Networks-Based Recommendation Systems

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CDHMb: Dynamic hypergraph learning with hierarchical contrastive learning for multi-behavior recommendation

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Bottom-up propagation of hierarchical dependency for multi-behavior recommendation

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Heterogeneous propagation graph convolution network for a recommendation system based on a knowledge graph

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Hypergraph temporal multi-behavior recommendation

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111248openalex-snapshot

Modeling category and multi-level user intentions for session-based recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116234openalex-snapshot

Multi-view Graph Attention Network for Travel Recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116311openalex-snapshot

Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120157openalex-snapshot

SRDPR: Social Relation-driven Dynamic network for Personalized micro-video Recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120963openalex-snapshot

HKGCL: Hierarchical graph contrastive learning for multi-domain recommendation over knowledge graph

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123575openalex-snapshot

Multi-behavior recommendation with SVD Graph Neural Networks

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Hypergraph-enhanced multi-interest learning for multi-behavior sequential recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127685openalex-snapshot

Personalized anchor debiased-contrastive learning for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128217openalex-snapshot

Live streaming recommendation based on multiple types of repeated behaviors

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128593openalex-snapshot

Multi-feature representation-based graph attention networks for predicting potential supply relationships in a large-scale supply chain network

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131701openalex-snapshot

DCE-MBR: Multi-behavior recommendation via hierarchical denoising and cascade enhancement

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133211openalex-snapshot

TSD-Rec: Metric semantic noise enhanced diffusion based contrastive learning with topology prior for multi-behavior recommendation

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Relationship-aware contrastive learning for social recommendations

inferred← citeshttps://doi.org/10.1016/j.ins.2024.121652openalex-snapshot

Knowledge-constrained interest-aware multi-behavior recommendation with behavior pattern identification

inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104447openalex-snapshot

Hierarchical graph contrastive learning with diffusion-enhanced for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1016/j.ipm.2026.105098openalex-snapshot

DiffMBR: diffusion-guided GCN for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1016/j.ipm.2026.105221openalex-snapshot

Information-aware multi-behavior processing for purchase decision prediction via cascaded graph and hypergraph learning

inferred← citeshttps://doi.org/10.1016/j.is.2024.102407openalex-snapshot

MBDL: Exploring dynamic dependency among various types of behaviors for recommendation

inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.102050openalex-snapshot

Meta graph network recommendation based on multi-behavior encoding

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Capturing spatial–temporal correlations with Attention based Graph Convolutional Network for network traffic prediction

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METoNR: A meta explanation triplet oriented news recommendation model

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GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109208openalex-snapshot

Graph-ICF: Item-based collaborative filtering based on graph neural network

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109250openalex-snapshot

Graph convolutional networks in language and vision: A survey

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109300openalex-snapshot

Micro-behaviour with Reinforcement Knowledge-aware Reasoning for Explainable Recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110087openalex-snapshot

Dual-track feedback aggregation recommendation model for programming training

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111013openalex-snapshot

Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111743openalex-snapshot

Learning path recommendation with multi-behavior user modeling and cascading deep Q networks

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112221openalex-snapshot

Multi-behavior contrastive learning with graph neural networks for recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112604openalex-snapshot

Multi-view multi-behavior interest learning network and contrastive learning for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114694openalex-snapshot

KG-FedCGNN: federated cross-user graph neural networks for reliable recommendations via knowledge graph enhancement

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.05.068openalex-snapshot

FG-RS: Capture user fine-grained preferences through attribute information for Recommender Systems

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126393openalex-snapshot

Sequential recommendation model integrating micro-behaviors and attribute enhancement

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128618openalex-snapshot

Cascading graph contrastive learning for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130659openalex-snapshot

Interest transfer graph convolutional networks for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107760openalex-snapshot

Neighborhood structure enhancement and denoising method for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1038/s41467-022-30714-9openalex-snapshot

A federated graph neural network framework for privacy-preserving personalization

inferred← citeshttps://doi.org/10.1051/shsconf/202623603005openalex-snapshot

The Impact of User “Like” Signals on Content Topic Selection Behavior of Douyin Creators under a Multi-Factor Recommendation Mechanism

inferred← citeshttps://doi.org/10.1080/08839514.2023.2201144openalex-snapshot

Multi-Behavior Enhanced Heterogeneous Graph Convolutional Networks Recommendation Algorithm based on Feature-Interaction

inferred← citeshttps://doi.org/10.1089/cmb.2021.0316openalex-snapshot

Integrating Long-Range Regulatory Interactions to Predict Gene Expression Using Graph Convolutional Networks

inferred← citeshttps://doi.org/10.1109/access.2022.3194536openalex-snapshot

Recommendation Systems: An Insight Into Current Development and Future Research Challenges

inferred← citeshttps://doi.org/10.1109/access.2023.3251994openalex-snapshot

Heterogeneous Multi-Behavior Recommendation Based on Graph Convolutional Networks

inferred← citeshttps://doi.org/10.1109/access.2024.3497217openalex-snapshot

Denoising Long-Tail Augmented Contrastive Network for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/access.2024.3513982openalex-snapshot

Position-Awareness and Hypergraph Contrastive Learning for Multi-Behavior Sequence Recommendation

inferred← citeshttps://doi.org/10.1109/access.2024.3517702openalex-snapshot

Modeling Topic-Specific Influential Users in QA Forums Using Association Rule Mining

inferred← citeshttps://doi.org/10.1109/access.2025.3583425openalex-snapshot

AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation

inferred← citeshttps://doi.org/10.1109/access.2026.3656421openalex-snapshot

Graph Neural Networks for Collaborative Filtering: A Survey on Ranking Prediction

inferred← citeshttps://doi.org/10.1109/access.2026.3725540openalex-snapshot

Disentangling Multi Behaviors for Recommendation Based on Graph Contrastive Learning

inferred← citeshttps://doi.org/10.1109/admit57209.2022.00021openalex-snapshot

Enhanced Feature Alignment with Heterogeneous Relations for Collaborative Filter

inferred← citeshttps://doi.org/10.1109/aict61584.2023.10452672openalex-snapshot

Self-Supervised Learning Recommendation Algorithm Based on Meta-Paths

inferred← citeshttps://doi.org/10.1109/aixset65682.2025.00031openalex-snapshot

Multi-Modal Group Recommendation with Visual and Textual Fusion via Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/besc64747.2024.10780584openalex-snapshot

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation*

inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020616openalex-snapshot

Multi-Behavior Recommendation with Hyperbolic Geometry

inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402410openalex-snapshot

User-Aware Denoising Sequential Model for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/cac63892.2024.10864738openalex-snapshot

CMBSR: Contrastive Multi-Behavior Social Recommendation via Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/cac63892.2024.10865711openalex-snapshot

Multi-Behavior Euler Transformer for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11581737openalex-snapshot

Multi-Behavior Collaborative Disentangled Intent Learning for Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/dsaa53316.2021.9564224openalex-snapshot

Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations

inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032456openalex-snapshot

Dual Channel Hybrid Messaging-Passing Graph Convolutional Network for Recommendation

inferred← citeshttps://doi.org/10.1109/dsit55514.2022.9943897openalex-snapshot

Cold-Start Sequential Recommendation with Collaborative Boosted Meta Transitional Learning

inferred← citeshttps://doi.org/10.1109/hpca57654.2024.00020openalex-snapshot

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446828openalex-snapshot

Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/iccece61317.2024.10504161openalex-snapshot

Multi-Behavioral Recommender System with Heterogeneous Graph Learning

inferred← citeshttps://doi.org/10.1109/iccece61317.2024.10504195openalex-snapshot

Multi-Behavior Recommendation Based on Heterogeneous Graph and Attention Networks

inferred← citeshttps://doi.org/10.1109/iccwamtip60502.2023.10387011openalex-snapshot

Exploiting Behavior Multiplicity for Social Recommendation Via Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/iccwamtip68645.2025.11352711openalex-snapshot

A Behavior-Aware Heterogeneous Graph Convolutional Neural Network for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/icde51399.2021.00136openalex-snapshot

Group-Buying Recommendation for Social E-Commerce

inferred← citeshttps://doi.org/10.1109/icde53745.2022.00027openalex-snapshot

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation

inferred← citeshttps://doi.org/10.1109/icde55515.2023.00014openalex-snapshot

Instant Representation Learning for Recommendation over Large Dynamic Graphs

inferred← citeshttps://doi.org/10.1109/icde60146.2024.00070openalex-snapshot

When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning

inferred← citeshttps://doi.org/10.1109/icdm51629.2021.00183openalex-snapshot

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00053openalex-snapshot

Variational Collective Graph AutoEncoder for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00064openalex-snapshot

MCRec: Multi-channel Gated Gifts Recommendation

inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00200openalex-snapshot

Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement

inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00090openalex-snapshot

Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product Recommendation

inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00075openalex-snapshot

Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering

inferred← citeshttps://doi.org/10.1109/icebe59045.2023.00019openalex-snapshot

A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation

inferred← citeshttps://doi.org/10.1109/iceemt56362.2022.9862713openalex-snapshot

Multi-Behavior Sequential Recommendation with Low-Rank Decomposed Self-Attention

inferred← citeshttps://doi.org/10.1109/icis54925.2022.9882509openalex-snapshot

Knowledge-Based Multi-Behavior Recommendation with Factor Disentanglement

inferred← citeshttps://doi.org/10.1109/ickg66886.2025.00051openalex-snapshot

Preference-Aware Intent Fusion in Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00217openalex-snapshot

Dual Contrastive Learning for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/ictai62512.2024.00029openalex-snapshot

Modeling Long & Short-term Interests and Assigning Sample Weight for Multi-behavior Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/icws60048.2023.00059openalex-snapshot

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/idciot64235.2025.10914736openalex-snapshot

Knowledge Graphs and Neural Networks in Recommendation Systems: A Comprehensive Survey and Future Directions

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191140openalex-snapshot

Relation-Aware Graph Attention Network for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191482openalex-snapshot

Lorentzian Graph Convolution Networks for Collaborative Filtering

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9891935openalex-snapshot

SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650423openalex-snapshot

TKMBR: Temporal Knowledge Graph-based Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227934openalex-snapshot

Multi-Behavior Graph Recommendation with Fusion of Sequential Information

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229313openalex-snapshot

Self-supervised Graph Convolutional Networks for Multi-criteria Rating Recommendation

inferred← citeshttps://doi.org/10.1109/imcec59810.2024.10575070openalex-snapshot

A Behavior Relation-Aware Graph Contrastive Networks for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/iotaima66468.2025.11212684openalex-snapshot

Heterogeneous graphs and Hypergraph Cascading Graph Convolution Network for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1109/iri54793.2022.00020openalex-snapshot

A News Recommendation Model Based on Time Awareness and News Relevance

inferred← citeshttps://doi.org/10.1109/itoec63606.2025.10968108openalex-snapshot

The Item Category-Oriented User Behavior Path Analysis in CTR Prediction

inferred← citeshttps://doi.org/10.1109/jas.2021.1003919openalex-snapshot

An Overview of Recommendation Techniques and Their Applications in Healthcare

inferred← citeshttps://doi.org/10.1109/jiot.2024.3439527openalex-snapshot

KEMB-Rec: Knowledge-Enhanced Explainable Multibehavior Recommendation With Graph Contrastive Learning

inferred← citeshttps://doi.org/10.1109/mlise62164.2024.10674285openalex-snapshot

Multi-Behavioral Recommender System Based on Multi-View Contrastive Learning

inferred← citeshttps://doi.org/10.1109/ntic55069.2022.10100590openalex-snapshot

Graph Convolutional Networks for Designing Collaborative Filtering-Based Health Recommender Systems

inferred← citeshttps://doi.org/10.1109/percomworkshops56833.2023.10150227openalex-snapshot

An Effective and Efficient Self-Attention Based Model for Next POI Recommendation

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