DBScholar

Back to papers

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
13186
Venue
VLDB
Year
2023
Pagerank
7.6352864e-05
Overall Rank
3,210 | 77.98%
DOI
10.14778/3583140.3583150

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 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
4,878 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 6.4684388e-05
5,205 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 6.318626e-05
5,760 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 6.0961929e-05
6,630 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 5.8192133e-05
6,695 GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs 2024 VLDB 5.7990641e-05
6,730 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.7895038e-05
6,900 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 5.7430032e-05
7,087 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 5.7069166e-05
8,503 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.4132367e-05
8,504 Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries 2024 VLDB 5.4132367e-05
9,349 Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs 2023 VLDB 5.284204e-05
10,330 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 5.093636e-05
10,620 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 5.093636e-05
10,887 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 5.093636e-05
10,907 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 5.093636e-05
10,922 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 5.093636e-05
11,108 Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph 2025 VLDB 5.093636e-05
11,110 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 5.093636e-05
11,237 BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank 2024 VLDB 5.093636e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers