flyingtango / DiGCL
The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
☆36Updated 3 years ago
Alternatives and similar repositories for DiGCL:
Users that are interested in DiGCL are comparing it to the libraries listed below
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago
- ☆20Updated 2 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆41Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Updated last year
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆32Updated 3 years ago
- ☆12Updated 4 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆26Updated 2 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 3 years ago
- ☆37Updated 3 years ago
- ☆30Updated last year
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated 8 months ago
- ☆10Updated 3 years ago
- ☆27Updated 3 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- ☆9Updated last year