alelab-upenn / graph-neural-networks
Library to implement graph neural networks in PyTorch
☆261Updated 9 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
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆393Updated 10 months ago
- Graph Auto-Encoder in PyTorch☆431Updated last year
- Variational Graph Recurrent Neural Networks - PyTorch☆115Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated last month
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆404Updated 3 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- Graph Neural Network Tutorial☆186Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆560Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated 2 years ago
- Neural Graph Differential Equations (Neural GDEs)☆200Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆473Updated 6 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆227Updated last year
- Representation learning on dynamic graphs using self-attention networks☆291Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆638Updated 2 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆108Updated 4 years 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
- Hierarchical Graph Pooling with Structure Learning☆339Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆295Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆254Updated 3 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆159Updated 5 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,216Updated 3 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆667Updated 2 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆317Updated 5 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆476Updated last year
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆102Updated 4 years ago