benedekrozemberczki / GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
☆588Updated last year
Alternatives and similar repositories for GraphWaveletNeuralNetwork:
Users that are interested in GraphWaveletNeuralNetwork are comparing it to the libraries listed below
- Pytorch implementation of Graph U-Nets (ICML19)☆528Updated 4 years ago
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆270Updated 4 months ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆795Updated 2 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,251Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆837Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆636Updated 2 years ago
- Graph Markov Neural Networks☆408Updated 4 years ago
- ☆486Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆545Updated 3 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆65Updated 6 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆465Updated 6 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆403Updated 2 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆331Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆426Updated 11 months ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,166Updated last year
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 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
- Graph Convolutional Networks (GCNs)☆915Updated 7 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆272Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆291Updated last year
- Multi-Graph Convolutional Neural Networks☆253Updated 6 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆317Updated 5 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆780Updated 2 years ago
- PyTorch implementation of DGCNN☆377Updated last year
- Papers on Graph neural network(GNN)☆761Updated last year
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 5 years ago
- How Powerful are Graph Neural Networks?☆1,208Updated 3 years ago