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Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law 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/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-snapshot
Modeling Relational Data with Graph Convolutional Networks
inferredcites →https://doi.org/10.1007/s13278-013-0141-9openalex-snapshot
Social recommendation: a review
inferredcites →https://doi.org/10.1016/j.acha.2010.04.005openalex-snapshot
Wavelets on graphs via spectral graph theory
inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot
Graph neural networks: A review of methods and applications
inferredcites →https://doi.org/10.1016/j.comcom.2013.06.009openalex-snapshot
A survey of collaborative filtering based social recommender systems
inferredcites →https://doi.org/10.1016/j.dss.2013.03.006openalex-snapshot
Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities
inferredcites →https://doi.org/10.1073/pnas.1000488107openalex-snapshot
Solving the apparent diversity-accuracy dilemma of recommender systems
inferredcites →https://doi.org/10.1103/physreve.84.037101openalex-snapshot
Information filtering via biased heat conduction
inferredcites →https://doi.org/10.1109/bigmm.2017.23openalex-snapshot
Personalized Recommendation Based on Unbalanced Symmetrical Mass Diffusion
inferredcites →https://doi.org/10.1109/cvpr.2017.667openalex-snapshot
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/tkde.2017.2663422openalex-snapshot
Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services
inferredcites →https://doi.org/10.1109/tkde.2019.2924656openalex-snapshot
On Both Cold-Start and Long-Tail Recommendation with Social Data
inferredcites →https://doi.org/10.1109/tkde.2020.3045924openalex-snapshot
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark
inferredcites →https://doi.org/10.1109/tkde.2020.3048414openalex-snapshot
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1454008.1454012openalex-snapshot
The long tail of recommender systems and how to leverage it
inferredcites →https://doi.org/10.1145/1864708.1864736openalex-snapshot
A matrix factorization technique with trust propagation for recommendation in social networks
inferredcites →https://doi.org/10.1145/3132847.3133021openalex-snapshot
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
inferredcites →https://doi.org/10.1145/3269206.3269264openalex-snapshot
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3308558.3313442openalex-snapshot
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
inferredcites →https://doi.org/10.1145/3308558.3313488openalex-snapshot
Graph Neural Networks for Social Recommendation
inferredcites →https://doi.org/10.1145/3308558.3313562openalex-snapshot
Heterogeneous Graph Attention Network
inferredcites →https://doi.org/10.1145/3331184.3331214openalex-snapshot
A Neural Influence Diffusion Model for Social Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3411872openalex-snapshot
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks
inferredcites →https://doi.org/10.1145/3357384.3357898openalex-snapshot
A Modular Adversarial Approach to Social Recommendation
inferredcites →https://doi.org/10.1145/3383313.3412222openalex-snapshot
Long-tail Session-based Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403076openalex-snapshot
Towards Deeper Graph Neural Networks
inferredcites →https://doi.org/10.14778/2311906.2311916openalex-snapshot
Challenging the long tail recommendation
inferredcites →https://doi.org/10.1609/aaai.v32i1.11604openalex-snapshot
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11782openalex-snapshot
An End-to-End Deep Learning Architecture for Graph Classification
inferredcites →https://doi.org/10.48550/arxiv.1605.08695openalex-snapshot
TensorFlow: A system for large-scale machine learning
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.2021.116311openalex-snapshot
Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117755openalex-snapshot
Social recommendation via deep neural network-based multi-task learning
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103439openalex-snapshot
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127547openalex-snapshot
Joint contrastive learning of structural and semantic for graph collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131956openalex-snapshot
Heterophily-aware fair recommendation using graph convolutional networks
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112167openalex-snapshot
Reconsidering the interplay between behaviors: A cross-attentive behavior-aware GCN-based recommendation
inferred← citeshttps://doi.org/10.1109/access.2025.3574781openalex-snapshot
Integrating a Sequential Model Into GNN-Based Social Recommendation for Relieving Over-Smoothing Problem
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889015openalex-snapshot
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3192598openalex-snapshot
AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation
inferred← citeshttps://doi.org/10.1109/tce.2024.3511994openalex-snapshot
Fusing Interaction Transition Features and Cross-Attention for Knowledge Tracing in E-Learning Systems
inferred← citeshttps://doi.org/10.1109/tcss.2024.3496774openalex-snapshot
Dual Social View Enhanced Contrastive Learning for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tii.2023.3246066openalex-snapshot
QSCC: A Quaternion Semantic Cell Convolution Graph Neural Network for MBD Product Model Classification
inferred← citeshttps://doi.org/10.1109/tkde.2024.3467333openalex-snapshot
Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation
inferred← citeshttps://doi.org/10.1145/3477596openalex-snapshot
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1
inferred← citeshttps://doi.org/10.1145/3580520openalex-snapshot
Learning Neighbor User Intention on User–Item Interaction Graphs for Better Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3587693openalex-snapshot
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3603374openalex-snapshot
Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain
inferred← citeshttps://doi.org/10.1145/3631115openalex-snapshot
Community Preserving Social Recommendation with Cyclic Transfer Learning
inferred← citeshttps://doi.org/10.1145/3638350openalex-snapshot
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
inferred← citeshttps://doi.org/10.1145/3653985openalex-snapshot
Deep Causal Reasoning for Recommendations
inferred← citeshttps://doi.org/10.1145/3661821openalex-snapshot
A Survey of Graph Neural Networks for Social Recommender Systems
inferred← citeshttps://doi.org/10.1145/3729224openalex-snapshot
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems
inferred← citeshttps://doi.org/10.1155/2022/7787633openalex-snapshot
[Retracted] Research on the Spectral Domain Graph Convolution Collaborative Filtering Algorithm Based on Reinforcement Learning and Chebyshev
inferred← citeshttps://doi.org/10.3390/app122211653openalex-snapshot
A Graph Convolution Collaborative Filtering Integrating Social Relations Recommendation Method
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