benedekrozemberczki / ClusterGCNLinks
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
☆805Updated 3 years ago
Alternatives and similar repositories for ClusterGCN
Users that are interested in ClusterGCN are comparing it to the libraries listed below
Sorting:
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆846Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,036Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Updated 4 years ago
- Semi-supervised learning with graph embeddings☆938Updated 5 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆659Updated 3 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆494Updated 5 years ago
- How Powerful are Graph Neural Networks?☆1,260Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Updated 2 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆805Updated 2 years ago
- ☆502Updated 4 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆674Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 5 years ago
- Graph Markov Neural Networks☆410Updated 5 years ago
- Papers on Graph neural network(GNN)☆768Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆487Updated 6 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,273Updated 2 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆818Updated 6 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆500Updated 3 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆336Updated 5 years ago
- ☆356Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,219Updated 8 months ago
- Graph Convolutional Networks (GCNs)☆919Updated 7 years ago
- Heterogeneous Graph Neural Network☆1,187Updated 5 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆839Updated 2 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆538Updated 6 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆445Updated 5 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆504Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆879Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆357Updated 5 years ago