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Temporal Dependencies for Graphs

Summary: Temporal dependencies in dynamic graphs; enforces realistic evolution constraints (e.g., transfers only during transfer windows) to select valid changes across timestamps. Scalable modeling and indexing of temporal knowledge graphs for efficient access amid large updates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h572d2b4e5e8d55e3
Venue
SIGMOD
Year
2021
Pagerank
4.9793485e-05
Overall Rank
11,961 | 19.59%
DOI
10.1145/3448016.3450586

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Authors

BibTeX Citation

@inproceedings{alipourlangouri_sigmod21,
        title = {{Temporal Dependencies for Graphs}},
        author = {Alipourlangouri, Morteza},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3450586},
        url = {https://dl.acm.org/doi/10.1145/3448016.3450586},
        year = {2021}
}

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

Rank Cited Paper Year Venue Pagerank
33 Consistent Query Answers in Inconsistent Databases 1999 PODS 0.00049349003
1,042 YAGO3: A Knowledge Base from Multilingual Wikipedias 2015 CIDR 0.00012336872
1,317 Incremental Graph Pattern Matching 2011 SIGMOD 0.00011050011
2,364 Dependencies for Graphs 2017 PODS 8.5665938e-05
3,026 Functional Dependencies for Graphs 2016 SIGMOD 7.7387829e-05
4,650 Temporal Rules Discovery for Web Data Cleaning 2016 VLDB 6.4858157e-05
8,590 Ontology-based Entity Matching in Attributed Graphs 2019 VLDB 5.3071244e-05
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