ch-wan / awesome-gnn-systems
A list of awesome GNN systems.
☆307Updated this week
Alternatives and similar repositories for awesome-gnn-systems:
Users that are interested in awesome-gnn-systems are comparing it to the libraries listed below
- ☆204Updated last year
- A reading list for deep graph learning acceleration.☆242Updated last month
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆299Updated last year
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆129Updated 3 weeks ago
- ☆135Updated last year
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆39Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆302Updated last year
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆54Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆79Updated 3 months ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆229Updated last year
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆32Updated 2 years ago
- Temporal Graph Benchmark project repo☆215Updated last week
- ☆46Updated 2 years ago
- Visualization tool for Graph Neural Networks☆248Updated 2 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated last year
- [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
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆150Updated 10 months ago
- Bag of Tricks for Graph Neural Networks.☆292Updated 8 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- Papers on Graph Analytics, Mining, and Learning☆124Updated 2 years ago
- ☆9Updated 3 years ago
- ☆349Updated 9 months ago
- Temporal GNN Lightweight Framework☆24Updated 11 months ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆317Updated last year
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆133Updated 3 years ago
- Low-Level Graph Neural Network Operators for PyG☆187Updated this week
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆247Updated 3 months ago
- ☆133Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆469Updated 6 years ago