JackChuengQAQ / CaLiGLinks
Source codes of "Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction", SIGMOD 2023
☆14Updated 2 years ago
Alternatives and similar repositories for CaLiG
Users that are interested in CaLiG are comparing it to the libraries listed below
Sorting:
- Source code and datasets of "An In-Depth Study of Continuous Subgraph Matching", accepted by VLDB'22 - By Xibo Sun, Dr. Shixuan Sun, Prof…☆50Updated 2 years ago
- The source code of "A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction"☆14Updated last year
- A Distributed System for GNN Training☆123Updated last year
- Source code of "RapidFlow: An Efficient Approach to Continuous Subgraph Matching" published in VLDB'2022 - By Shixuan Sun, Xibo Sun, Bing…☆32Updated 3 years ago
- Source code of "FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework"☆11Updated last year
- In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo☆164Updated 2 years ago
- ☆47Updated 3 years ago
- ☆15Updated 7 months ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆85Updated 5 months ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆157Updated last year
- FORA: Simple and Effective Approximate Single-Source Personalized Pagerank☆32Updated 4 years ago
- ☆31Updated 4 years ago
- Graph Partitioning for Large-scale Graph Datasets☆97Updated 3 years ago
- ☆12Updated 3 years ago
- ☆14Updated 4 years ago
- Experimental Setup for Performance Analysis of Streaming Algorithms☆32Updated 4 years ago
- ☆12Updated last year
- ☆138Updated 2 years ago
- GPU-friendly Subgraph Isomorphism, published in ICDE 2020☆36Updated 4 months ago
- ☆33Updated last year
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆18Updated last year
- ☆11Updated 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
- ☆17Updated last year
- ☆12Updated 4 years ago
- ☆19Updated 4 years ago
- ☆28Updated last year
- ☆10Updated 3 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
- ☆12Updated 3 years ago