RexYing / diffpool
☆487Updated 4 years ago
Alternatives and similar repositories for diffpool:
Users that are interested in diffpool are comparing it to the libraries listed below
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆636Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆838Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,011Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆331Updated 4 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- ☆420Updated 6 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆524Updated 3 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆714Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆466Updated 6 years ago
- Hierarchical Graph Pooling with Structure Learning☆339Updated 3 years ago
- Graph Auto-Encoder in PyTorch☆426Updated last year
- Graph Markov Neural Networks☆409Updated 4 years ago
- PyTorch implementation of DGCNN☆378Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆795Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆344Updated 4 years ago
- ☆295Updated 2 years ago
- gnn explainer☆935Updated 6 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆480Updated 2 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆174Updated 6 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated 9 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,007Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆818Updated last year
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆481Updated 4 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆529Updated 4 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆346Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆990Updated last year