YuWVandy / G2GNN
☆45Updated last year
Related projects: ⓘ
- ☆24Updated 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
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated last year
- ☆35Updated last year
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆18Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆63Updated 3 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆47Updated last year
- ☆41Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆41Updated 2 years ago
- ☆37Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆48Updated 9 months ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆25Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆44Updated 8 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆68Updated 11 months ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆90Updated 6 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated last year
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆30Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆46Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆82Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆76Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆53Updated 3 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆46Updated last year
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- The source code of SpCo☆31Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆31Updated last year
- Awesome literature on imbalanced learning on graphs☆59Updated last week
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆31Updated this week
- ☆36Updated 2 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆34Updated 11 months ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆56Updated 3 years ago