benedekrozemberczki / ClusterGCNLinks
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
☆803Updated 2 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"☆845Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,033Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆491Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆650Updated 2 years ago
- Semi-supervised learning with graph embeddings☆929Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆663Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆473Updated 2 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆798Updated 2 years ago
- ☆497Updated 4 years ago
- Graph Convolutional Networks (GCNs)☆920Updated 7 years ago
- How Powerful are Graph Neural Networks?☆1,246Updated 4 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,215Updated 6 months ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆335Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆482Updated 6 years ago
- Papers on Graph neural network(GNN)☆767Updated 2 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- Graph Markov Neural Networks☆411Updated 5 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆497Updated 3 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆833Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆356Updated 5 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,269Updated 2 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆818Updated 6 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆536Updated 5 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆370Updated 2 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,050Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆578Updated 3 years ago