chaitjo / efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
☆530Updated 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
- Python library assists deep learning on graphs☆554Updated last year
- A PyTorch Graph Neural Network Library☆375Updated 3 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆346Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated 9 months ago
- A curated list for awesome self-supervised learning for graphs.☆382Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- ☆173Updated last year
- CS224W Course Notes☆303Updated 4 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆467Updated last year
- A curated list of graph data augmentation papers.☆306Updated 11 months ago
- Strategies for Pre-training Graph Neural Networks☆993Updated last year
- ☆349Updated 9 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,990Updated 3 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆481Updated 2 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆287Updated 3 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- TGN: Temporal Graph Networks☆1,028Updated 9 months ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 3 months ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆132Updated 3 years ago
- Papers about explainability of GNNs☆710Updated 3 weeks ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆612Updated 8 months ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆233Updated last year
- TensorFlow 2 library implementing Graph Neural Networks☆371Updated last year
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,184Updated 2 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,771Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆930Updated 8 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆290Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆663Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆469Updated 6 years ago