snap-stanford / ogbLinks
Benchmark datasets, data loaders, and evaluators for graph machine learning
☆2,025Updated 3 months ago
Alternatives and similar repositories for ogb
Users that are interested in ogb are comparing it to the libraries listed below
Sorting:
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,617Updated 2 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,825Updated last year
- gnn explainer☆987Updated 11 months ago
- Strategies for Pre-training Graph Neural Networks☆1,030Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,239Updated 4 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,682Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,210Updated 4 months ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,794Updated last year
- TGN: Temporal Graph Networks☆1,091Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆858Updated last year
- Simple reference implementation of GraphSAGE.☆1,029Updated 5 years ago
- A library for graph deep learning research☆1,978Updated last year
- Python library assists deep learning on graphs☆563Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,039Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,567Updated last year
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆991Updated 4 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,324Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆646Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆946Updated last year
- Implementation of Graph Auto-Encoders in TensorFlow☆1,711Updated 5 years ago
- TensorFlow implementations of Graph Neural Networks☆924Updated 2 years ago
- Paper Lists for Graph Neural Networks☆2,271Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆674Updated 3 years ago
- Papers on Graph neural network(GNN)☆766Updated last year
- GraphVite: A General and High-performance Graph Embedding System☆1,256Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆636Updated last year
- Pytorch Geometric Tutorials☆1,128Updated 2 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,316Updated 2 weeks ago