imayachita / Explore_GCN
Explore Graph Convolutional Networks
☆17Updated last year
Alternatives and similar repositories for Explore_GCN:
Users that are interested in Explore_GCN are comparing it to the libraries listed below
- ☆39Updated 2 years ago
- ☆14Updated 2 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆101Updated 4 years ago
- here you can find the material used for our Tutorials☆100Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆101Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆268Updated last year
- ☆94Updated last year
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆131Updated 4 years ago
- ☆92Updated last year
- A repo for holding example code☆151Updated last year
- a numpy implementation of Graph Convolutional Networks☆28Updated 6 years ago
- GraphSAGE and GAT for link prediction.☆85Updated 5 years ago
- Explanation method for Graph Neural Networks (GNNs)☆62Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated 10 months ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆178Updated 7 months ago
- Graph Neural Network Tutorial☆185Updated 4 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆286Updated 2 years ago
- ☆95Updated 2 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆185Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆133Updated 5 months ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆208Updated 2 years ago
- This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated last month
- An VGAE implementation using pytorch geometric.☆43Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- Pytorch Geometric link prediction of a homogeneous social graph.☆25Updated 2 years ago
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆266Updated 2 months ago
- Gradient gating (ICLR 2023)☆53Updated last year