TeGraph: A Novel General-Purpose Temporal Graph Computing Engine

Author:

Huan Chengying1,Liu Hang2,Liu Mengxing1,Liu Yongchao3,He Changhua3,Chen Kang1,Jiang Jinlei1,Wu Yongwei1,Song Shuaiwen Leon4

Affiliation:

1. Tsinghua University

2. Stevens Institute of Technology

3. Ant Group

4. University of Sydney

Funder

National Key Research & Development Program of China

Natural Science Foundation of China

University of Sydney

Australia Research Council

Publisher

IEEE

Reference83 articles.

1. Efficiently Answering Span-Reachability Queries in Large Temporal Graphs

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5. A fast parallel maximum clique algorithm for large sparse graphs and temporal strong components;rossi;CoRR,2013

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1. TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications;IEEE Transactions on Parallel and Distributed Systems;2024-08

2. Chronoweb: An open-source platform for analyzing temporal information diffusion on the web;SoftwareX;2024-05

3. SciDG: Benchmarking Scientific Dynamic Graph Queries;35th International Conference on Scientific and Statistical Database Management;2023-07-10

4. TEA: A General-Purpose Temporal Graph Random Walk Engine;Proceedings of the Eighteenth European Conference on Computer Systems;2023-05-08

5. T-GCN;Proceedings of the International Conference on Parallel Architectures and Compilation Techniques;2022-10-08

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