Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs
Summary: Temporal SIR-GN: unsupervised structural NRL that clusters and aggregates neighbor embeddings per timestamp, temporally aggregates those summaries, and iterates up to d hops to encode evolving structural roles. Linear-time in temporal edges, with theoretical guarantees and empirically superior accuracy and scalability on node classification/regression tasks. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Janet Layne
- 2. Justin Carpenter
- 3. Edoardo Serra
- 4. Francesco Gullo
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,510 | Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense | 2024 | VLDB | 4.4952414e-05 |
| 9,484 | Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries | 2024 | VLDB | 4.3341665e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 636 | APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding | 2021 | SIGMOD | 0.00018846494 |
| 1,024 | Path Problems in Temporal Graphs | 2014 | VLDB | 0.00014609643 |
| 1,387 | TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs | 2022 | VLDB | 0.00012261568 |
| 3,503 | FREDE: Anytime Graph Embeddings | 2021 | VLDB | 7.0355661e-05 |
| 3,709 | Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank | 2023 | VLDB | 6.8242482e-05 |
| 3,803 | Scaling Attributed Network Embedding to Massive Graphs | 2021 | VLDB | 6.7550628e-05 |
| 8,242 | Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties | 2022 | SIGMOD | 4.551877e-05 |
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