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: 13626
Venue: VLDB
Year: 2024
Pagerank: 5.4132367e-05
Overall Rank: 8,503 | 41.67%
DOI: 10.14778/3659437.3659457

Incoming Non-self Citations Over Time

Authors

1. Haoyang Li (Hong Kong University of Science and Technology)
2. Shimin Di (Hong Kong University of Science and Technology)
3. Calvin Hong Yi Li (The Cigna Group)
4. Lei Chen (Hong Kong University of Science and Technology)
5. Xiaofang Zhou (Hong Kong University of Science and Technology)

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
10,521	Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling	2026	VLDB	5.093636e-05
10,620	Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation	2026	VLDB	5.093636e-05
10,757	Data Enhancement for Binary Classification of Relational Data	2025	SIGMOD	5.093636e-05

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
920	APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	2021	SIGMOD	0.00013209734
1,863	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB	9.5950349e-05
2,383	ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network	2021	VLDB	8.6527736e-05
2,873	Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed	2022	VLDB	8.0099557e-05
3,210	Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank	2023	VLDB	7.6352864e-05
3,464	Building Enclave-Native Storage Engines for Practical Encrypted Databases	2021	VLDB	7.3916399e-05
3,634	Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees	2023	SIGMOD	7.2358691e-05
3,751	G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs	2020	VLDB	7.1531889e-05
3,850	Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization	2021	VLDB	7.0742748e-05
3,896	Scaling Attributed Network Embedding to Massive Graphs	2021	VLDB	7.0406415e-05
4,394	R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys	2022	SIGMOD	6.7274063e-05
4,589	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting	2022	VLDB	6.6162897e-05
4,980	Decoupled Graph Neural Networks for Large Dynamic Graphs	2023	VLDB	6.4133375e-05
5,118	Efficient Streaming Subgraph Isomorphism with Graph Neural Networks	2021	VLDB	6.3580186e-05
5,205	ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs	2024	VLDB	6.318626e-05
5,968	SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization	2022	VLDB	6.0248475e-05
6,146	METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting	2022	VLDB	5.9601852e-05
6,261	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.9366952e-05
6,386	Operon: An Encrypted Database for Ownership-Preserving Data Management	2022	VLDB	5.8899805e-05
6,666	Residual Sensitivity for Differentially Private Multi-Way Joins	2021	SIGMOD	5.8086805e-05
7,087	DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning	2024	VLDB	5.7069166e-05
7,292	A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries	2022	PODS	5.653597e-05
9,349	Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs	2023	VLDB	5.284204e-05
9,729	Scalable Graph Convolutional Network Training on Distributed-Memory Systems	2023	VLDB	5.2289669e-05

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