chaitjo / efficient-gnnsLinks
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
☆532Updated 2 years ago
Alternatives and similar repositories for efficient-gnns
Users that are interested in efficient-gnns are comparing it to the libraries listed below
Sorting:
- Python library assists deep learning on graphs☆558Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- CS224W Course Notes☆307Updated 4 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆470Updated last year
- A curated list of graph data augmentation papers.☆312Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- A PyTorch Graph Neural Network Library☆376Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆351Updated 2 weeks ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆489Updated 2 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- A library for graph deep learning research☆1,962Updated 11 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆298Updated 2 years ago
- ☆175Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆977Updated 3 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 3 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆672Updated 2 years ago
- ☆354Updated last year
- TGN: Temporal Graph Networks☆1,073Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,019Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆943Updated 11 months ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆134Updated 3 years ago
- Bag of Tricks for Graph Neural Networks.☆296Updated 11 months ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,678Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆842Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆494Updated 11 months ago
- Distance Encoding for GNN Design☆186Updated 4 years ago