chaitjo / efficient-gnnsLinks
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
☆536Updated 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☆565Updated 2 years ago
- CS224W Course Notes☆313Updated 4 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆472Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆355Updated 5 months ago
- A PyTorch Graph Neural Network Library☆376Updated 2 months ago
- Strategies for Pre-training Graph Neural Networks☆1,045Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆298Updated 2 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,047Updated 6 months ago
- ☆177Updated 2 years ago
- A curated list of graph data augmentation papers.☆314Updated last year
- A library for graph deep learning research☆1,995Updated last year
- ☆362Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,853Updated 2 years ago
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆642Updated last year
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆652Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆677Updated 3 years ago
- TGN: Temporal Graph Networks☆1,129Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,698Updated last year
- Papers about explainability of GNNs☆765Updated 2 weeks ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆499Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 11 months ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆292Updated 4 years ago
- An autoML framework & toolkit for machine learning on graphs.☆1,122Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆796Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆485Updated 6 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago