Junshan-Wang / ContinualGNN
Streaming Graph Neural Networks via Continual Learning (CIKM 2020)
☆41Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for ContinualGNN
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆33Updated 6 months ago
- ☆50Updated this week
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆45Updated 3 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- ☆28Updated 2 years ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆19Updated 3 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆20Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆73Updated this week
- ☆12Updated 8 months ago
- ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs☆15Updated last year
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆51Updated 10 months ago
- ☆28Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆63Updated 11 months ago
- Data repository for PyGOD☆38Updated 9 months ago
- ☆51Updated 3 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆61Updated 6 months ago
- code for "Self-supervised representation learning on dynamic graphs"☆26Updated 2 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆46Updated last year
- ☆20Updated 8 months ago
- ☆24Updated 2 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆41Updated 2 years ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆51Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆59Updated 2 years ago