yuwvandy / CAGCNLinks
This repository includes the implementation of CAGCN and the experiments on link prediction/node classification
☆54Updated 2 years ago
Alternatives and similar repositories for CAGCN
Users that are interested in CAGCN are comparing it to the libraries listed below
Sorting:
- ☆27Updated 3 years ago
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆195Updated 2 years ago
- CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation☆21Updated 3 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆71Updated 3 years ago
- HCCF, SIGIR 2022☆100Updated 2 years ago
- SHT, KDD 2022☆52Updated 2 years ago
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆49Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 2 years ago
- KDD'22☆64Updated 3 years ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆124Updated last year
- The source code of HeCo☆170Updated 3 years ago
- ☆77Updated 3 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆34Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆63Updated 2 years ago
- The source code of SpCo☆34Updated 2 years ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆21Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- ☆26Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆87Updated last year
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- ☆19Updated 2 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 3 years ago
- ☆59Updated 3 years ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆53Updated 4 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Updated 4 years ago
- AAAI-2021☆35Updated 4 years ago
- TransGNN, SIGIR 2024☆64Updated last year