marius-team / mariusLinks
Large scale graph learning on a single machine.
☆164Updated 5 months ago
Alternatives and similar repositories for marius
Users that are interested in marius are comparing it to the libraries listed below
Sorting:
- 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
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 6 months ago
- ☆47Updated 3 months ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆301Updated last year
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- A general-purpose, distributed graph random walk engine.☆109Updated 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
- ☆70Updated 4 years ago
- Papers on Graph Analytics, Mining, and Learning☆125Updated 2 years ago
- ☆46Updated 2 years ago
- Source code of "ThunderRW: An In-Memory Graph Random Walk Engine" published in VLDB'2021 - By Shixuan Sun, Yuhang Chen, Shengliang Lu, Bi…☆26Updated 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
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 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
- A Factored System for Sample-based GNN Training over GPUs☆42Updated 2 years ago
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆139Updated 3 months ago
- WholeGraph - large scale Graph Neural Networks☆104Updated 8 months ago
- ☆17Updated 5 years ago
- Graph Pattern Mining☆89Updated 10 months ago
- ☆35Updated 2 months ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- Multi-threaded Large-Scale RMAT Graph Generator.☆129Updated last year
- ☆27Updated 11 months ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆84Updated last month
- ☆10Updated last year
- Experimental Setup for Performance Analysis of Streaming Algorithms☆31Updated 3 years ago