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)
Incoming Non-self Citations Over Time
Authors
- 1. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
- 2. Ruochun Jin (University of Edinburgh)
- 3. Ping Lu (Beihang University)
- 4. Chao Tian (Chinese Academy of Sciences)
- 5. Ruiqi Xu (National University of Singapore)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,554 | Explaining GNN-based Recommendations in Logic | 2025 | VLDB | 5.2528121e-05 |
| 9,627 | Making It Tractable to Catch Duplicates and Conflicts in Graphs | 2023 | SIGMOD | 5.2434488e-05 |
| 10,763 | Rule-Based Graph Cleaning with GPUs on a Single Machine | 2025 | SIGMOD | 5.093636e-05 |
| 10,922 | When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction | 2025 | VLDB | 5.093636e-05 |
| 11,202 | Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | 2024 | SIGMOD | 5.093636e-05 |
| 11,212 | Capturing More Associations by Referencing External Graphs | 2024 | VLDB | 5.093636e-05 |
| 11,410 | Enriching Recommendation Models with Logic Conditions | 2023 | SIGMOD | 5.093636e-05 |
| 11,434 | Learning and Deducing Temporal Orders | 2023 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,006 | Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together | 2019 | SIGMOD | 0.00012699518 |
| 1,057 | YAGO3: A Knowledge Base from Multilingual Wikipedias | 2015 | CIDR | 0.00012387149 |
| 1,085 | GraMI: Frequent Subgraph and Pattern Mining in a Single Large Graph | 2014 | VLDB | 0.0001225302 |
| 2,324 | Dependencies for Graphs | 2017 | PODS | 8.7506505e-05 |
| 7,099 | Discovering Graph Functional Dependencies | 2018 | SIGMOD | 5.7043774e-05 |
| 8,113 | Capturing Associations in Graphs | 2020 | VLDB | 5.484341e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,410 | Enriching Recommendation Models with Logic Conditions | 2023 | SIGMOD |
| 2 | 11,108 | Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph | 2025 | VLDB |
| 3 | 11,227 | Extending Graph Rules with Oracles | 2024 | VLDB |
| 4 | 9,207 | Behavior Query Discovery in System-Generated Temporal Graphs | 2016 | VLDB |
| 5 | 4,598 | Temporal Rules Discovery for Web Data Cleaning | 2016 | VLDB |
| 6 | 10,546 | TIMEST: Temporal Information Motif Estimator Using Sampling Trees | 2026 | VLDB |
| 7 | 12,014 | TeCoRe: Temporal Conflict Resolution in Knowledge Graphs | 2017 | VLDB |
| 8 | 7,330 | Discovering Association Rules from Big Graphs | 2022 | VLDB |
| 9 | 11,434 | Learning and Deducing Temporal Orders | 2023 | VLDB |
| 10 | 11,795 | Data Stream Event Prediction Based on Timing Knowledge and State Transitions | 2020 | VLDB |