Xtra-Computing / VineLinks
Accelerating Exact Constrained Shortest Paths on GPUs
☆15Updated 5 years ago
Alternatives and similar repositories for Vine
Users that are interested in Vine are comparing it to the libraries listed below
Sorting:
- Fast Parallel Probabilistic Graphical Model Learning and Inference [IPDPS'22, PPoPP'23, USENIX ATC'24]☆79Updated 3 months ago
- Source code of "ThunderRW: An In-Memory Graph Random Walk Engine" published in VLDB'2021 - By Shixuan Sun, Yuhang Chen, Shengliang Lu, Bi…☆27Updated 4 years ago
- Python library for data stream learning☆26Updated last year
- Source code of "PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration", published in SIGMOD'2021 - By Shixuan Sun, Yuhang Chen…☆17Updated 4 years ago
- Graph edge partitioning algorithms☆48Updated 6 years ago
- OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams (VLDB 2024)☆13Updated last year
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated last year
- Pensieve is a skewness-aware multi-version graph processing system that exploits the time locality of graph version access and leverages …☆21Updated 4 years ago
- G3: A Programmable GNN Training System on GPU☆43Updated 5 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
- ☆31Updated 5 years ago
- Graph Partitoning Using Graph Convolutional Networks☆67Updated 3 years ago
- ☆47Updated 3 years ago
- Graph Partitioning for Large-scale Graph Datasets☆97Updated 4 years ago
- In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo☆164Updated 2 years ago
- ☆17Updated 4 years 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
- Experimental Setup for Performance Analysis of Streaming Algorithms☆32Updated 4 years ago
- Papers on Graph Analytics, Mining, and Learning☆128Updated 3 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
- GraphMineSuite (GMS): a benchmarking suite for graph mining algorithms such as graph pattern matching or graph learning☆26Updated 4 years ago
- A simple script runs on Tampermonkey to easily access IEEE Xplore, ACM Digital Library, etc.☆31Updated 4 years ago
- ☆42Updated 4 years ago
- A book about Ph.D. student and research career planning☆28Updated 3 months ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆57Updated 3 years ago
- ☆19Updated 5 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- ☆34Updated last year
- 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
- ☆28Updated last year