ssu-dmlab / DisenGCN-pytorchLinks
Unofficial pytorch implementation of DisenGCN
☆14Updated 2 years ago
Alternatives and similar repositories for DisenGCN-pytorch
Users that are interested in DisenGCN-pytorch are comparing it to the libraries listed below
Sorting:
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆194Updated 2 years ago
- Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices☆20Updated 9 months ago
- Source code of DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation, CIKM 2020☆14Updated 2 years ago
- Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)☆21Updated 11 months ago
- CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation☆21Updated 3 years ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54Updated 2 years ago
- TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"☆21Updated 4 months ago
- TransGNN, SIGIR 2024☆63Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- ☆58Updated 3 years ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆123Updated last year
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆49Updated last year
- Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.☆30Updated 3 years ago
- [CIKM 2023] Code for the paper "LTE4G: Long-Tail Experts for Graph Neural Networks"☆40Updated 3 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆63Updated 2 years ago
- Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"☆31Updated last year
- HCCF, SIGIR 2022☆100Updated 2 years ago
- [TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"☆67Updated last year
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆66Updated last year
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆20Updated 2 years ago
- ☆27Updated 3 years ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Updated 2 years ago
- The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"☆18Updated 4 years ago
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆18Updated 2 years ago
- Easy-to-use framework for graph continual learning with Python☆38Updated last year
- This project is the source code for Multimodal Graph Attention Network(MGAT). The source code will be available on the acceptance of the …☆58Updated 5 years ago
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆61Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆40Updated last year
- The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation☆12Updated last year