weihua916 / powerful-gnns
How Powerful are Graph Neural Networks?
☆1,187Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for powerful-gnns
- Simple reference implementation of GraphSAGE.☆996Updated 4 years ago
- gnn explainer☆883Updated 2 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆832Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆630Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,142Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆630Updated last year
- Semi-supervised learning with graph embeddings☆889Updated 4 years ago
- Papers on Graph neural network(GNN)☆758Updated last year
- ☆479Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆448Updated 5 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆977Updated last year
- Strategies for Pre-training Graph Neural Networks☆972Updated last year
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆696Updated 2 years ago
- Graph Convolutional Networks (GCNs)☆910Updated 6 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆787Updated 2 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,246Updated last year
- Graph Auto-Encoder in PyTorch☆417Updated 8 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,945Updated 9 months ago
- Repository for benchmarking graph neural networks☆2,525Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆365Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,237Updated 2 years ago
- Position-aware Graph Neural Networks☆395Updated 4 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,647Updated 4 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆519Updated 3 years ago
- ☆415Updated 5 years ago
- Graph Markov Neural Networks☆401Updated 4 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆487Updated 3 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆475Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,089Updated 4 years ago