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Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense

Summary: ADGNN: active defense for dynamic graphs that injects optimizable guardian nodes to disrupt attackers' node-injection strategies. Optimizes an active-defense objective via a gradient-based algorithm with two speedups, outperforming passive pattern-specific defenders and augmenting existing GNN defenses. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h26c346c11868ae23
Venue
VLDB
Year
2024
Pagerank
5.2917782e-05
Overall Rank
8,670 | 41.71%
DOI
10.14778/3659437.3659457

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb24,
        title = {{Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense}},
        author = {Li, Haoyang and Di, Shimin and Li, Calvin Hong Yi and Chen, Lei and Zhou, Xiaofang},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {8},
        pages = {2050--2063},
        doi = {10.14778/3659437.3659457},
        url = {https://doi.org/10.14778/3659437.3659457},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,706 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.9793485e-05
11,066 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 4.9793485e-05
11,182 Data Enhancement for Binary Classification of Relational Data 2025 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
881 APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding 2021 SIGMOD 0.00013278822
1,772 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 9.6792287e-05
2,441 ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network 2021 VLDB 8.4621326e-05
2,940 Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed 2022 VLDB 7.8334815e-05
3,017 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 7.7471344e-05
3,399 Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees 2023 SIGMOD 7.3349076e-05
3,451 Building Enclave-Native Storage Engines for Practical Encrypted Databases 2021 VLDB 7.2916928e-05
3,752 G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs 2020 VLDB 7.0517024e-05
3,899 Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization 2021 VLDB 6.9358695e-05
3,914 Scaling Attributed Network Embedding to Massive Graphs 2021 VLDB 6.9292666e-05
4,496 R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys 2022 SIGMOD 6.5764614e-05
4,565 Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting 2022 VLDB 6.5315617e-05
4,764 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 6.4276208e-05
4,825 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 6.3923554e-05
5,051 Decoupled Graph Neural Networks for Large Dynamic Graphs 2023 VLDB 6.2961385e-05
5,124 SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization 2022 VLDB 6.2624516e-05
5,218 Efficient Streaming Subgraph Isomorphism with Graph Neural Networks 2021 VLDB 6.2231041e-05
6,090 METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting 2022 VLDB 5.8904642e-05
6,324 EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs 2023 SIGMOD 5.8137796e-05
6,496 Operon: An Encrypted Database for Ownership-Preserving Data Management 2022 VLDB 5.7658049e-05
6,803 Residual Sensitivity for Differentially Private Multi-Way Joins 2021 SIGMOD 5.6783493e-05
7,439 A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries 2022 PODS 5.5267455e-05
9,528 Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs 2023 VLDB 5.1656406e-05
9,900 Scalable Graph Convolutional Network Training on Distributed-Memory Systems 2023 VLDB 5.1116429e-05
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