xuChenSJTU / SAT-master-online
This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".
☆29Updated 2 years ago
Related projects: ⓘ
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆53Updated 3 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆44Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆47Updated last year
- ☆37Updated 2 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆40Updated 2 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆17Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆46Updated 3 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆19Updated last year
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆19Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆76Updated 10 months ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆16Updated 5 months ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆46Updated 7 months ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆74Updated 2 years ago
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆33Updated 2 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆63Updated 3 months ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆56Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆33Updated last year
- ☆72Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆69Updated 9 months ago
- ☆57Updated last year
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 2 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆44Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆85Updated 2 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆14Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆24Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆25Updated 2 years ago