KarypisLab / PM4GNNLinks
Graph partitioning for distributed GNN training
☆14Updated 2 years ago
Alternatives and similar repositories for PM4GNN
Users that are interested in PM4GNN are comparing it to the libraries listed below
Sorting:
- G3: A Programmable GNN Training System on GPU☆43Updated 5 years ago
- Graph Partitoning Using Graph Convolutional Networks☆65Updated 3 years ago
- ☆35Updated 2 months ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- ☆46Updated 4 months ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated 2 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆84Updated 2 months ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆114Updated 2 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 6 months ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- OpenGraph is an open-source graph processing benchmarking suite written in pure C/OpenMP.☆12Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- A reading list for deep graph learning acceleration.☆249Updated last month
- GraphMineSuite (GMS): a benchmarking suite for graph mining algorithms such as graph pattern matching or graph learning☆26Updated 4 years ago
- Implementation of the HYPE hypergraph partitioner.☆22Updated 5 years ago
- ☆12Updated 2 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
- ICLR 2021☆48Updated 4 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time☆41Updated last year
- Distributed Graph Mining on a Massive "Single" Graph☆16Updated 5 years ago
- ☆13Updated 4 years ago
- ☆70Updated 4 years ago
- Artifact of the MLSys25' paper "GRAPH LEARNING AT SCALE: CHARACTERIZING AND OPTIMIZING PRE-PROPAGATION GNNS"☆14Updated 4 months ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆17Updated last year
- ☆36Updated 3 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆75Updated 3 months ago
- ☆16Updated last year
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆36Updated last year