microsoft / ptgnnLinks
A PyTorch Graph Neural Network Library
☆374Updated last week
Alternatives and similar repositories for ptgnn
Users that are interested in ptgnn are comparing it to the libraries listed below
Sorting:
- TensorFlow 2 library implementing Graph Neural Networks☆375Updated 2 years ago
- Python library assists deep learning on graphs☆566Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- CS224W Course Notes☆311Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆675Updated 3 years ago
- ☆172Updated 5 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 3 months ago
- TensorFlow implementations of Graph Neural Networks☆926Updated 2 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆497Updated last year
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆326Updated 2 years ago
- ☆358Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,036Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 4 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆369Updated 2 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 9 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆276Updated 2 years ago
- Source code of Graph-Bert☆503Updated 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 5 months ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆642Updated last year
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆648Updated 2 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆481Updated 6 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆286Updated 4 years ago