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 |
|---|---|---|---|---|
| 9,400 | Explaining GNN-based Recommendations in Logic | 2025 | VLDB | 4.3441378e-05 |
| 9,487 | Making It Tractable to Catch Duplicates and Conflicts in Graphs | 2023 | SIGMOD | 4.3341665e-05 |
| 10,486 | Rule-Based Graph Cleaning with GPUs on a Single Machine | 2025 | SIGMOD | 4.1945683e-05 |
| 10,673 | When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction | 2025 | VLDB | 4.1945683e-05 |
| 10,991 | Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | 2024 | SIGMOD | 4.1945683e-05 |
| 11,001 | Capturing More Associations by Referencing External Graphs | 2024 | VLDB | 4.1945683e-05 |
| 11,209 | Enriching Recommendation Models with Logic Conditions | 2023 | SIGMOD | 4.1945683e-05 |
| 11,234 | Learning and Deducing Temporal Orders | 2023 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 804 | YAGO3: A Knowledge Base from Multilingual Wikipedias | 2015 | CIDR | 0.00016463579 |
| 1,089 | GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph | 2014 | VLDB | 0.00014157922 |
| 1,561 | Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together | 2019 | SIGMOD | 0.00011358946 |
| 2,527 | Dependencies for Graphs | 2017 | PODS | 8.5954406e-05 |
| 6,703 | Discovering Graph Functional Dependencies | 2018 | SIGMOD | 4.9555163e-05 |
| 8,211 | Capturing Associations in Graphs | 2020 | VLDB | 4.5581054e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,209 | Enriching Recommendation Models with Logic Conditions | 2023 | SIGMOD | 4.1945683e-05 |
| 10,885 | Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph | 2025 | VLDB | 4.1945683e-05 |
| 11,016 | Extending Graph Rules with Oracles | 2024 | VLDB | 4.1945683e-05 |
| 9,057 | Behavior Query Discovery in System-Generated Temporal Graphs | 2016 | VLDB | 4.4039656e-05 |
| 4,904 | Temporal Rules Discovery for Web Data Cleaning | 2016 | VLDB | 5.8399195e-05 |
| 10,258 | TIMEST: Temporal Information Motif Estimator Using Sampling Trees | 2026 | VLDB | 4.1945683e-05 |
| 11,811 | TeCoRe: Temporal Conflict Resolution in Knowledge Graphs | 2017 | VLDB | 4.1945683e-05 |
| 11,234 | Learning and Deducing Temporal Orders | 2023 | VLDB | 4.1945683e-05 |
| 7,287 | Discovering Association Rules from Big Graphs | 2022 | VLDB | 4.7762276e-05 |
| 11,600 | Data Stream Event Prediction Based on Timing Knowledge and State Transitions | 2020 | VLDB | 4.1945683e-05 |