microsoft / GraphormerLinks
Graphormer is a general-purpose deep learning backbone for molecular modeling.
☆2,315Updated last year
Alternatives and similar repositories for Graphormer
Users that are interested in Graphormer are comparing it to the libraries listed below
Sorting:
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆987Updated 4 years ago
- A library for graph deep learning research☆1,975Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,027Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,034Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,019Updated 2 months ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆764Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,611Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,682Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,819Updated last year
- Papers about graph transformers.☆897Updated 4 months ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,397Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,791Updated last year
- gnn explainer☆985Updated 11 months ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆944Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆853Updated last year
- How Powerful are Graph Neural Networks?☆1,237Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆674Updated 2 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,054Updated 2 years ago
- Pytorch Geometric Tutorials☆1,125Updated 2 years ago
- TGN: Temporal Graph Networks☆1,086Updated last year
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆345Updated 3 years ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆533Updated 2 years ago
- Papers about explainability of GNNs☆746Updated 3 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,553Updated 11 months ago
- Heterogeneous Graph Neural Network☆1,152Updated 5 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆601Updated last year
- Simple reference implementation of GraphSAGE.☆1,028Updated 5 years ago
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,574Updated 2 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,170Updated 3 years ago
- Source code of Graph-Bert☆499Updated 2 years ago