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Large Scale Graph Mining with G-Miner

Summary: G-Miner: a distributed graph-mining system demo for interactive analytics. Highlights workload challenges and design choices affecting performance, expressiveness, and usability, with empirical comparison to existing systems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5789
Venue
SIGMOD
Year
2019
Pagerank
5.1776969e-05
Overall Rank
10,010 | 31.33%
DOI
10.1145/3299869.3320219

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod19,
        title = {{Large Scale Graph Mining with G-Miner}},
        author = {Chen, Hongzhi and Wang, Xiaoxi and Huang, Chenghuan and Fang, Juncheng and Hou, Yifan and Li, Changji and Cheng, James},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3320219},
        url = {https://dl.acm.org/doi/10.1145/3299869.3320219},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0012250108
6,450 Big Graph Analytics Systems 2016 SIGMOD 5.8753826e-05
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