microsoft / ptgnn
A PyTorch Graph Neural Network Library
☆375Updated 3 years ago
Alternatives and similar repositories for ptgnn:
Users that are interested in ptgnn are comparing it to the libraries listed below
- Python library assists deep learning on graphs☆555Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆468Updated last year
- TensorFlow 2 library implementing Graph Neural Networks☆372Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆393Updated 10 months ago
- Source code of Graph-Bert☆491Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆288Updated 4 years ago
- Strategies for Pre-training Graph Neural Networks☆1,006Updated last year
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆640Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆667Updated 2 years ago
- ☆351Updated 10 months ago
- ☆172Updated 5 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 9 months ago
- TensorFlow implementations of Graph Neural Networks☆919Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆325Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆842Updated 3 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆484Updated 2 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆616Updated 9 months ago
- TorchKGE: Knowledge Graph embedding in Python and PyTorch.☆383Updated last year
- gnn explainer☆949Updated 8 months ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- ☆422Updated 6 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago