alelab-upenn / graph-neural-networks
Library to implement graph neural networks in PyTorch
☆253Updated 6 months ago
Alternatives and similar repositories for graph-neural-networks:
Users that are interested in graph-neural-networks are comparing it to the libraries listed below
- Variational Graph Recurrent Neural Networks - PyTorch☆115Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆423Updated 10 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆392Updated 7 months ago
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆266Updated 3 months ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆103Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆540Updated 3 years ago
- Representation learning on dynamic graphs using self-attention networks☆287Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- Graph Neural Network Tutorial☆186Updated 4 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆283Updated 4 years ago
- Hierarchical Graph Pooling with Structure Learning☆335Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆291Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆268Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆397Updated 3 years ago
- CS224W Course Notes☆299Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆461Updated 6 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated 10 months ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆315Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆660Updated 2 years ago
- A repo for holding example code☆151Updated last year
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆341Updated 4 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆317Updated 5 years ago
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆634Updated 2 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆103Updated 5 years ago
- TGN: Temporal Graph Networks☆1,004Updated 8 months ago