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Towards Event Prediction in Temporal Graphs

Summary: TACOs: temporal association rules over graph updates for event prediction. TASTE uses a creator–critic ML loop to discover TACOs (with ML predicates); shows SAT/implication/prediction complexity and 31.4x faster discovery with 23.4% accuracy gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12874
Venue
VLDB
Year
2022
Pagerank
5.4877864e-05
Overall Rank
8,095 | 44.47%
DOI
10.14778/3538598.3538608

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fan_vldb22,
        title = {{Towards Event Prediction in Temporal Graphs}},
        author = {Fan, Wenfei and Jin, Ruochun and Lu, Ping and Tian, Chao and Xu, Ruiqi},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {9},
        pages = {1861--1874},
        doi = {10.14778/3538598.3538608},
        url = {https://doi.org/10.14778/3538598.3538608},
        year = {2022}
}

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