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Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/icdmw51313.2020.00027openalex-snapshot
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851698openalex-snapshot
DAGCN: Dual Attention Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3219819.3220007openalex-snapshot
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3412012openalex-snapshot
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
inferredcites →https://doi.org/10.1145/3340531.3412069openalex-snapshot
Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3340531.3412119openalex-snapshot
Multiplex Graph Neural Networks for Multi-behavior Recommendation
inferredcites →https://doi.org/10.1145/3357384.3358166openalex-snapshot
Cross-Domain Recommendation via Preference Propagation GraphNet
inferredcites →https://doi.org/10.1145/3394486.3403253openalex-snapshot
Dual Channel Hypergraph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3397271.3401072openalex-snapshot
Multi-behavior Recommendation with Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/3397271.3401133openalex-snapshot
Next-item Recommendation with Sequential Hypergraphs
inferredcites →https://doi.org/10.1145/3442381.3449844openalex-snapshot
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
inferredcites →https://doi.org/10.1145/3459637.3481953openalex-snapshot
Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce
inferredcites →https://doi.org/10.1145/3459637.3482426openalex-snapshot
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
inferredcites →https://doi.org/10.1609/aaai.v35i5.16578openalex-snapshot
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
inferredcites →https://doi.org/10.18653/v1/d19-1018openalex-snapshot
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
inferredcites →https://doi.org/10.24963/ijcai.2018/484openalex-snapshot
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2020/379openalex-snapshot
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2020/415openalex-snapshot
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2021/353openalex-snapshot
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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.neunet.2024.106207openalex-snapshot
A Comprehensive Survey on Deep Graph Representation Learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106807openalex-snapshot
Hypergraph contrastive attention networks for hyperedge prediction with negative samples evaluation
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228744openalex-snapshot
Adaptive Hierarchical Graph Neural Network for Non-overlapping Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/tnse.2026.3704047openalex-snapshot
Multiplex Hypergraph Contrastive Learning for Identifying Critical Workflows in Cross-Domain Business Collaboration
inferred← citeshttps://doi.org/10.1109/tsc.2025.3620425openalex-snapshot
Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3614977openalex-snapshot
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment
inferred← citeshttps://doi.org/10.1145/3589334.3645649openalex-snapshot
Multi-Label Zero-Shot Product Attribute-Value Extraction
inferred← citeshttps://doi.org/10.1145/3705727openalex-snapshot
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems
inferred← citeshttps://doi.org/10.1177/01655515261474480openalex-snapshot
Heterogeneous graph collaborative contrastive learning for cross-platform information recommendation
inferred← citeshttps://doi.org/10.3390/e27101046openalex-snapshot
Hypergraph Semi-Supervised Contrastive Learning for Hyperedge Prediction Based on Enhanced Attention Aggregator
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