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
- 2. Ruochun Jin
- 3. Ping Lu
- 4. Chao Tian
- 5. Ruiqi Xu
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,401 | Explaining GNN-based Recommendations in Logic | 2025 | VLDB | 5.3341661e-05 |
| 9,483 | Making It Tractable to Catch Duplicates and Conflicts in Graphs | 2023 | SIGMOD | 5.3246578e-05 |
| 10,496 | Rule-Based Graph Cleaning with GPUs on a Single Machine | 2025 | SIGMOD | 5.1725247e-05 |
| 10,681 | When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction | 2025 | VLDB | 5.1725247e-05 |
| 10,994 | Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | 2024 | SIGMOD | 5.1725247e-05 |
| 11,004 | Capturing More Associations by Referencing External Graphs | 2024 | VLDB | 5.1725247e-05 |
| 11,211 | Enriching Recommendation Models with Logic Conditions | 2023 | SIGMOD | 5.1725247e-05 |
| 11,236 | Learning and Deducing Temporal Orders | 2023 | VLDB | 5.1725247e-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 |
|---|---|---|---|---|
| 1,031 | Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together | 2019 | SIGMOD | 0.00012615956 |
| 1,039 | YAGO3: A Knowledge Base from Multilingual Wikipedias | 2015 | CIDR | 0.00012571479 |
| 1,077 | GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph | 2014 | VLDB | 0.00012403698 |
| 2,286 | Dependencies for Graphs | 2017 | PODS | 8.8854622e-05 |
| 6,979 | Discovering Graph Functional Dependencies | 2018 | SIGMOD | 5.7927251e-05 |
| 7,981 | Capturing Associations in Graphs | 2020 | VLDB | 5.5692809e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,889 | Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph | 2025 | VLDB | 5.1725247e-05 |
| 11,211 | Enriching Recommendation Models with Logic Conditions | 2023 | SIGMOD | 5.1725247e-05 |
| 11,019 | Extending Graph Rules with Oracles | 2024 | VLDB | 5.1725247e-05 |
| 9,070 | Behavior Query Discovery in System-Generated Temporal Graphs | 2016 | VLDB | 5.3880466e-05 |
| 4,539 | Temporal Rules Discovery for Web Data Cleaning | 2016 | VLDB | 6.7101516e-05 |
| 10,258 | TIMEST: Temporal Information Motif Estimator Using Sampling Trees | 2026 | VLDB | 5.1725247e-05 |
| 11,819 | TeCoRe: Temporal Conflict Resolution in Knowledge Graphs | 2017 | VLDB | 5.1725247e-05 |
| 7,206 | Discovering Association Rules from Big Graphs | 2022 | VLDB | 5.7309223e-05 |
| 11,236 | Learning and Deducing Temporal Orders | 2023 | VLDB | 5.1725247e-05 |
| 11,604 | Data Stream Event Prediction Based on Timing Knowledge and State Transitions | 2020 | VLDB | 5.1725247e-05 |