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Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank

Summary: Links T-GNN temporal message passing to temporal random walks and proposes T-PPR, a parameterized influence score showing a few temporal neighbors suffice for accurate representations. Introduces Zebra: a scalable framework with a single-scan top-k T-PPR algorithm (provable approximation) that aggregates top influencers, delivering up to 100× speedups and often better accuracy. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
hb4020a498a920ce3
Venue
VLDB
Year
2023
Pagerank
7.7178623e-05
Overall Rank
3,027 | 79.72%
DOI
10.14778/3583140.3583150
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb23,
        title = {{Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank}},
        author = {Li, Yiming and Shen, Yanyan and Chen, Lei and Yuan, Mingxuan},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {6},
        pages = {1332--1345},
        doi = {10.14778/3583140.3583150},
        url = {https://doi.org/10.14778/3583140.3583150},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank Citing Paper Year Venue Pagerank
4,524 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 6.5492325e-05
4,785 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 6.4033344e-05
4,850 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 6.3682022e-05
4,910 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 6.3468554e-05
5,332 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 6.1623722e-05
6,124 GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs 2024 VLDB 5.8623233e-05
6,686 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 5.6931383e-05
6,849 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.6488938e-05
8,698 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.2717835e-05
8,699 Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries 2024 VLDB 5.2717835e-05
9,266 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 5.1860131e-05
9,267 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 5.1860131e-05
9,564 Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs 2023 VLDB 5.1461226e-05
10,296 BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank 2024 VLDB 5.031399e-05
10,611 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.9605343e-05
10,850 PRISM: A Training System to Unlock the Potential of Temporal Graph Learning Through Staleness Avoidance 2026 VLDB 4.9605343e-05
11,136 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 4.9605343e-05
11,376 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 4.9605343e-05
11,516 Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph 2025 VLDB 4.9605343e-05
11,517 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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