xdxuyang / SelfSAGCNLinks
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network
☆12Updated 3 years ago
Alternatives and similar repositories for SelfSAGCN
Users that are interested in SelfSAGCN are comparing it to the libraries listed below
Sorting:
- A collection of graph contrastive learning methods.☆18Updated 3 years ago
- The implementation of paper "Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks"☆13Updated 4 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆48Updated 3 years ago
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆20Updated 4 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆63Updated 4 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆50Updated 3 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Updated last year
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆56Updated 4 years ago
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Updated 2 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Updated 4 years ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆12Updated 3 years ago
- Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks☆52Updated 4 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.☆10Updated 5 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Updated 2 years ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network☆29Updated 3 years ago
- Unsupervised Domain Adaptation on Graphs☆15Updated 3 years ago
- ☆13Updated 3 years ago
- Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)☆18Updated 4 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆45Updated last year
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆40Updated 3 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Updated 4 years ago
- GFL for AAAI 2020☆31Updated 4 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 3 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆62Updated 3 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago