QwQ2000 / TheWebConf24-LTGNN-PyTorchLinks
TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
☆18Updated 2 weeks ago
Alternatives and similar repositories for TheWebConf24-LTGNN-PyTorch
Users that are interested in TheWebConf24-LTGNN-PyTorch are comparing it to the libraries listed below
Sorting:
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆183Updated 2 years ago
- On Generalized Degree Fairness in Graph Neural Networks☆9Updated 2 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆35Updated 3 years ago
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆50Updated last year
- The source code of SpCo☆35Updated 2 years ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆17Updated last year
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆61Updated 2 years ago
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆15Updated last year
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆115Updated 9 months ago
- TransGNN, SIGIR 2024☆56Updated last year
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆62Updated last year
- Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation☆13Updated last year
- ☆26Updated 3 years ago
- [AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".☆40Updated 4 months ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆19Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Updated 3 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 2 years ago
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆66Updated last year
- HCCF, SIGIR 2022☆99Updated last year
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆26Updated 9 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 9 months ago
- Official PyTorch implementation for our SIGIR'24 paper Disentangled Contrastive Hypergraph Learning for Next POI Recommendation☆24Updated 11 months ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54Updated 2 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 8 months ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated last year
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆57Updated last year
- Benchmark☆102Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year