Mining Large Graphs And Streams Using Matrix And Tensor Tools

Summary: Survey of matrix and tensor tools for mining large graphs and coevolving streams; time-evolving data represented as tensors. Notes tensor models PARAFAC, Tucker (1–3), DEDICOM and hybrids with SVD/PCA-like tools for scalable graph/stream mining. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4029
Venue: SIGMOD
Year: 2007
Pagerank: -
Overall Rank: 13,805 | 5.29%
DOI: 10.1145/1247480.1247647

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Authors

1. Christos Faloutsos (Carnegie Mellon University)
2. Tamara G. Kolda (Sandia National Laboratories)
3. Jimeng Sun (Carnegie Mellon University)

BibTeX Citation

@inproceedings{faloutsos_sigmod07,
        title = {{Mining Large Graphs And Streams Using Matrix And Tensor Tools}},
        author = {Faloutsos, Christos and Kolda, Tamara G. and Sun, Jimeng},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247647},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247647},
        year = {2007}
}

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