Billy1900 / GNN-Learning-and-IntegrationLinks
Awesome GNN Learning For beginners
☆13Updated 3 years ago
Alternatives and similar repositories for GNN-Learning-and-Integration
Users that are interested in GNN-Learning-and-Integration are comparing it to the libraries listed below
Sorting:
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆22Updated 2 years ago
- Edge-Augmented Graph Transformer☆50Updated 3 years ago
- Sparse graph attention☆17Updated 6 years ago
- ☆20Updated 4 years ago
- ☆10Updated 4 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆34Updated 3 years ago
- Graph Transformers for Large Graphs☆21Updated last year
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 3 years ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆45Updated 5 years ago
- This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.☆10Updated 5 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- MagNet graph convolutional network☆37Updated last year
- Based on Graph Convolutional Networks in PyTorch, visualization of test set results was added with t-SNE algorithm.☆43Updated 5 years ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆20Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 4 years ago
- Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).☆23Updated 4 years ago
- This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".☆28Updated 2 years ago
- Deeper insights into graph convolutional networks for semi-supervised learning☆19Updated 6 years ago
- Graph Neural Network☆19Updated 3 years ago
- Source code for our IEEE ICDM 2017 paper "Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs".☆11Updated 7 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago
- ☆11Updated 3 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆31Updated 3 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆41Updated 2 years ago
- An much simpler and easy understand graph convolutional network☆9Updated 6 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Updated 2 years ago
- ☆76Updated 3 years ago
- The source will be uploaded recently☆11Updated 4 years ago