THeGCN: Temporal Heterophilic Graph Convolutional Network
Fuente:
arXiv
Saved in:
| Main Authors: | Yan, Yuchen, Chen, Yuzhong, Chen, Huiyuan, Li, Xiaoting, Xu, Zhe, Zeng, Zhichen, Liu, Lihui, Liu, Zhining, Tong, Hanghang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fine-grained Graph Rationalization
by: Xu, Zhe, et al.
Published: (2023)
by: Xu, Zhe, et al.
Published: (2023)
Masked Graph Transformer for Large-Scale Recommendation
by: Chen, Huiyuan, et al.
Published: (2024)
by: Chen, Huiyuan, et al.
Published: (2024)
Beyond Homophily: Community Search on Heterophilic Graphs
by: Sima, Qing, et al.
Published: (2026)
by: Sima, Qing, et al.
Published: (2026)
IA-GCN: Interactive Graph Convolutional Network for Recommendation
by: Zhang, Yinan, et al.
Published: (2022)
by: Zhang, Yinan, et al.
Published: (2022)
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
by: Wang, Zheng, et al.
Published: (2024)
by: Wang, Zheng, et al.
Published: (2024)
HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation
by: Yin, Yabo, et al.
Published: (2024)
by: Yin, Yabo, et al.
Published: (2024)
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering
by: Yang, Xiaodong, et al.
Published: (2024)
by: Yang, Xiaodong, et al.
Published: (2024)
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
by: Wu, Xinyi, et al.
Published: (2024)
by: Wu, Xinyi, et al.
Published: (2024)
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification
by: Lin, Xiao, et al.
Published: (2026)
by: Lin, Xiao, et al.
Published: (2026)
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
by: Gholinejad, Nemat, et al.
Published: (2024)
by: Gholinejad, Nemat, et al.
Published: (2024)
Ensuring User-side Fairness in Dynamic Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2023)
by: Yoo, Hyunsik, et al.
Published: (2023)
Epidemiology-informed Network for Robust Rumor Detection
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
by: Zhao, Yuying, et al.
Published: (2024)
by: Zhao, Yuying, et al.
Published: (2024)
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs
by: Liu, Lihui, et al.
Published: (2024)
by: Liu, Lihui, et al.
Published: (2024)
Knowledge Graph Reasoning Based on Attention GCN
by: Gupta, Meera, et al.
Published: (2023)
by: Gupta, Meera, et al.
Published: (2023)
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
by: Guo, Linxin, et al.
Published: (2024)
by: Guo, Linxin, et al.
Published: (2024)
Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)
by: Yoo, Hyunsik, et al.
Published: (2025)
CO-EVOLVE: Bidirectional Co-Evolution of Graph Structure and Semantics for Heterophilous Learning
by: Xing, Jinming, et al.
Published: (2026)
by: Xing, Jinming, et al.
Published: (2026)
Spectral-Based Graph Neural Networks for Complementary Item Recommendation
by: Luo, Haitong, et al.
Published: (2024)
by: Luo, Haitong, et al.
Published: (2024)
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
by: Lu, Hsiao-Ying, et al.
Published: (2024)
by: Lu, Hsiao-Ying, et al.
Published: (2024)
Joint Optimal Transport and Embedding for Network Alignment
by: Yu, Qi, et al.
Published: (2025)
by: Yu, Qi, et al.
Published: (2025)
Mixture of Demonstrations for Textual Graph Understanding and Question Answering
by: Wu, Yukun, et al.
Published: (2026)
by: Wu, Yukun, et al.
Published: (2026)
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
by: Nguyen, Tan Loc, et al.
Published: (2025)
by: Nguyen, Tan Loc, et al.
Published: (2025)
Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
by: Cheng, Zhiyong, et al.
Published: (2024)
by: Cheng, Zhiyong, et al.
Published: (2024)
Cost-Effective Community-Hierarchy-Based Mutual Voting Approach for Influence Maximization in Complex Networks
by: Liu, Yi, et al.
Published: (2024)
by: Liu, Yi, et al.
Published: (2024)
How Cohesive Are Community Search Results on Online Social Networks?: An Experimental Evaluation
by: Zhao, Yining, et al.
Published: (2025)
by: Zhao, Yining, et al.
Published: (2025)
Learning Social Graph for Inactive User Recommendation
by: Liu, Nian, et al.
Published: (2024)
by: Liu, Nian, et al.
Published: (2024)
SWGCN: Synergy Weighted Graph Convolutional Network for Multi-Behavior Recommendation
by: Chen, Fangda, et al.
Published: (2026)
by: Chen, Fangda, et al.
Published: (2026)
Matrix Factorization with Dynamic Multi-view Clustering for Recommender System
by: Gao, Shangde, et al.
Published: (2025)
by: Gao, Shangde, et al.
Published: (2025)
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
by: Zhang, Yijie, et al.
Published: (2024)
by: Zhang, Yijie, et al.
Published: (2024)
Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
by: Senapati, Aadarsh, et al.
Published: (2026)
by: Senapati, Aadarsh, et al.
Published: (2026)
SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation
by: Burabak, Mert, et al.
Published: (2024)
by: Burabak, Mert, et al.
Published: (2024)
Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network
by: Chen, Zheyu, et al.
Published: (2024)
by: Chen, Zheyu, et al.
Published: (2024)
Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
by: Lin, Xiao, et al.
Published: (2026)
by: Lin, Xiao, et al.
Published: (2026)
Link Prediction with Physics-Inspired Graph Neural Networks
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)
CGLE: Class-label Graph Link Estimator for Link Prediction
by: Mazumder, Ankit, et al.
Published: (2025)
by: Mazumder, Ankit, et al.
Published: (2025)
Similar Items
-
Fine-grained Graph Rationalization
by: Xu, Zhe, et al.
Published: (2023) -
Masked Graph Transformer for Large-Scale Recommendation
by: Chen, Huiyuan, et al.
Published: (2024) -
Beyond Homophily: Community Search on Heterophilic Graphs
by: Sima, Qing, et al.
Published: (2026) -
IA-GCN: Interactive Graph Convolutional Network for Recommendation
by: Zhang, Yinan, et al.
Published: (2022) -
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
by: Wang, Zheng, et al.
Published: (2024)