snap-stanford / GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
☆1,676Updated 10 months ago
Related projects: ⓘ
- Repository for benchmarking graph neural networks☆2,482Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,918Updated 7 months ago
- Pytorch Geometric Tutorials☆1,034Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,546Updated 7 months ago
- gnn explainer☆854Updated 2 weeks ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,128Updated last year
- Python library assists deep learning on graphs☆543Updated 10 months ago
- A library for graph deep learning research☆1,843Updated 2 months ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆870Updated 3 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,182Updated 2 years ago
- TGN: Temporal Graph Networks☆945Updated 3 months ago
- How Powerful are Graph Neural Networks?☆1,172Updated 3 years ago
- Papers about graph transformers.☆760Updated 5 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆950Updated last year
- Paper Lists for Graph Neural Networks☆2,198Updated 8 months ago
- Strategies for Pre-training Graph Neural Networks☆956Updated last year
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,618Updated 3 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,398Updated last month
- links to conference publications in graph-based deep learning☆4,742Updated last week
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,406Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,712Updated 7 months ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆2,881Updated last year
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,071Updated 3 months ago
- Papers about explainability of GNNs☆622Updated this week
- Simple reference implementation of GraphSAGE.☆988Updated 4 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆644Updated 2 months ago
- TensorFlow implementations of Graph Neural Networks☆914Updated last year
- Implementation of Graph Auto-Encoders in TensorFlow☆1,644Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆640Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆870Updated 2 months ago