amazon-science / dual-channel-hypergraph-neural-network
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for dual-channel-hypergraph-neural-network
- The implement of LLMTreeRec☆10Updated 2 months ago
- The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper☆13Updated 2 years ago
- ☆12Updated 3 years ago
- Graph Transformers for Large Graphs☆20Updated 6 months ago
- ☆10Updated last year
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated last year
- ☆12Updated 2 years ago
- ☆25Updated last year
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆20Updated last year
- PMMRec: Multi-Modality is All You Need for Transferable Recommender Systems☆17Updated last year
- ☆11Updated 10 months ago
- The benchmark proposed in paper: GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability☆16Updated 8 months ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)☆24Updated 2 years ago
- ☆11Updated 7 months ago
- ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation☆18Updated last year
- LightGT: A Light Graph Transformer for Multimedia Recommendation, SIGIR2023☆21Updated last week
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆26Updated last year
- Towards LLM Empowered Recommendation via Tool Learning☆14Updated 5 months ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆23Updated 7 months ago
- Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)☆16Updated 11 months ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆12Updated last year
- A Multilingual Dataset For Cross-lingual News Recommendation☆18Updated 7 months ago
- Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces☆12Updated last year
- This is our implementation of IntEL-Intent-aware Ranking Ensemble for Personalized Recommendation (SIGIR2023)☆20Updated last year
- The code for Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation (SIGIR 2023)☆9Updated last year
- The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)☆28Updated 8 months ago
- TGT, TKDE 2022☆14Updated last month
- Official code for paper "Attention Calibration for Transformer-based Sequential Recommendation"☆16Updated last year