Scalable Motif Counting for Large-scale Temporal Graphs-Reference-Cited by-同舟云学术

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Scalable Motif Counting for Large-scale Temporal Graphs

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 38th International Conference on Data Engineering (ICDE)
language:
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Author:

Gao Zhongqiang¹,Cheng Chuanqi¹,Yu Yanwei¹,Cao Lei²,Huang Chao³,Dong Junyu¹

Affiliation:

1. College of Computer Science and Technology, Ocean University of China,Qingdao,China

2. Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory,Cambridge,USA

3. The University of Hong Kong,Department of Computer Science,Hong Kong,China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9835153/9835154/09835654.pdf?arnumber=9835654

Reference39 articles.

1. The Network Data Repository with Interactive Graph Analytics and Visualization

2. Counting and sampling triangles from a graph stream

3. Revisiting Wedge Sampling for Triangle Counting

4. Graph sample and hold

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Heterogeneous Network Motif Coding, Counting, and Profiling;ACM Transactions on Knowledge Discovery from Data;2024-08-28

2. Evolution Forest Index: Towards Optimal Temporal k -Core Component Search via Time-Topology Isomorphic Computation;Proceedings of the VLDB Endowment;2024-07

3. Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs;Proceedings of the VLDB Endowment;2023-12

4. Everest: GPU-Accelerated System for Mining Temporal Motifs;Proceedings of the VLDB Endowment;2023-10

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