cszhangzhen / HGP-SLLinks
Hierarchical Graph Pooling with Structure Learning
☆340Updated 3 years ago
Alternatives and similar repositories for HGP-SL
Users that are interested in HGP-SL are comparing it to the libraries listed below
Sorting:
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆351Updated last week
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated 2 years ago
- ☆491Updated 4 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆285Updated 4 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆334Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- ☆299Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆350Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆435Updated last year
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆273Updated 3 months ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆409Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆642Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆672Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆537Updated 4 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆200Updated 4 years ago
- ☆268Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- ☆423Updated 6 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆298Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year