sw-gong / GNN-TutorialLinks
Graph Neural Network Tutorial
☆191Updated 5 years ago
Alternatives and similar repositories for GNN-Tutorial
Users that are interested in GNN-Tutorial are comparing it to the libraries listed below
Sorting:
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- CS224W Course Notes☆311Updated 4 years ago
- A list for GNNs and related works.☆99Updated 2 months ago
- Pytorch Geometric Tutorials☆1,130Updated 2 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆415Updated 3 years ago
- Graph Auto-Encoder in PyTorch☆441Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 5 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 3 months ago
- ☆96Updated 2 years ago
- here you can find the material used for our Tutorials☆103Updated 3 years ago
- CS224W Stanford Winter 2021 Homework solutions☆196Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆481Updated 6 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- ☆358Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆300Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆343Updated 4 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆111Updated 4 years ago
- Solutions for CS224W Winter 2021 Colab☆169Updated last year
- Library to implement graph neural networks in PyTorch☆266Updated last year
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆188Updated 3 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- Representation learning on dynamic graphs using self-attention networks☆297Updated 2 years ago
- A Graph Neural Network project on HIV data☆282Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated 2 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆125Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆354Updated 5 years ago
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆576Updated 3 years ago