rkoh-rq / XGNN
Pytorch implementation of XGNN
☆10Updated 4 years ago
Alternatives and similar repositories for XGNN
Users that are interested in XGNN are comparing it to the libraries listed below
Sorting:
- ☆16Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 3 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆51Updated 2 years ago
- MetA-Train to Explain☆17Updated 3 years ago
- ☆32Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated last year
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- HDGI code☆61Updated 5 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 2 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated 2 years ago
- Generating PGM Explanation for GNN predictions☆74Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- ☆9Updated last year
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆21Updated 2 years ago
- ☆25Updated 5 years ago
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- ☆20Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 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
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago