zirui-ray-liu / ExactLinks
☆21Updated 3 years ago
Alternatives and similar repositories for Exact
Users that are interested in Exact are comparing it to the libraries listed below
Sorting:
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆84Updated 3 months ago
- ☆13Updated 4 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆67Updated last year
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago
- ☆46Updated 3 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆17Updated last year
- ICLR 2021☆48Updated 4 years ago
- A reading list for deep graph learning acceleration.☆252Updated last month
- ☆139Updated 2 years ago
- ☆10Updated 3 years ago
- ☆35Updated 3 months ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆155Updated last year
- A list of awesome GNN systems.☆325Updated this week
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆28Updated last year
- Source code for Learn Locally Correct Globally☆14Updated 3 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 2 years ago
- ☆12Updated 2 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time☆41Updated last year
- List of papers on ICML2023.☆55Updated 2 years ago
- ☆46Updated 5 months ago
- ☆16Updated 3 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…