VSGM: View-Based GPU-Accelerated Subgraph Matching on Large Graphs
Author:
Affiliation:
1. The Chinese University of Hong Kong,Hong Kong,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10046045/10045783/10046118.pdf?arnumber=10046118
Reference47 articles.
1. Efficient Subgraph Matching
2. Fast algorithms for bin packing
3. CECI
4. Gunrock
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1. Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24
2. GCSM: GPU-Accelerated Continuous Subgraph Matching for Large Graphs;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27
3. G2-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
4. Faster Depth-First Subgraph Matching on GPUs;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
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