QwQ2000 / TheWebConf24-LTGNN-PyTorchLinks
TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
☆18Updated last month
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:
- The source code of SpCo☆35Updated 2 years ago
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆183Updated 2 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆35Updated 3 years ago
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆62Updated last year
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆50Updated last year
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆15Updated last year
- TransGNN, SIGIR 2024☆60Updated last year
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Updated 3 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆40Updated 10 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆19Updated 2 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆61Updated 2 years ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆17Updated last year
- ☆26Updated 3 years ago
- Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation☆13Updated last year
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54Updated 2 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 8 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 9 months ago
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆66Updated last year
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Updated 10 months ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆116Updated 9 months ago
- CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation☆21Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆24Updated last year
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 3 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆22Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆33Updated last year
- The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation☆11Updated 11 months ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆44Updated 3 years ago
- ☆12Updated last year