CongWeilin / DGCNLinks
☆10Updated 4 years ago
Alternatives and similar repositories for DGCN
Users that are interested in DGCN are comparing it to the libraries listed below
Sorting:
- ☆38Updated 4 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- ☆21Updated 2 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 4 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 8 months ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 4 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Updated 3 years ago
- MagNet graph convolutional network☆40Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆73Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆106Updated 3 months ago
- ☆12Updated 4 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- ☆58Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Updated last month
- Graph Structured Neural Network☆40Updated 3 years ago
- ☆28Updated 4 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- ☆29Updated 4 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆39Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago