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…☆85Updated 5 months ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆18Updated last year
- ICLR 2021☆48Updated 4 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆68Updated 2 years ago
- ☆14Updated 4 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated 2 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆64Updated 2 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- ☆49Updated 8 months ago
- ☆10Updated 3 years ago
- ☆47Updated 3 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆157Updated last year
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time (ICLR'24)☆42Updated last year
- A list of awesome GNN systems.☆332Updated this week
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 3 years ago
- A reading list for deep graph learning acceleration.☆256Updated 4 months ago
- ☆12Updated 3 years ago
- ☆138Updated 2 years ago
- 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 4 years ago
- ☆11Updated 2 years ago
- List of papers on ICML2023.☆56Updated 2 years ago
- ☆216Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- ☆15Updated last year
- ☆17Updated last year
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆69Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year