LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Wenlun, Dai, Enyan, Yoshioka, Kentaro |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
por: Zhang, Yuxiang, et al.
Publicado: (2026)
por: Zhang, Yuxiang, et al.
Publicado: (2026)
Poisoning the Inner Prediction Logic of Graph Neural Networks for Clean-Label Backdoor Attacks
por: Zhang, Yuxiang, et al.
Publicado: (2026)
por: Zhang, Yuxiang, et al.
Publicado: (2026)
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
por: Dai, Enyan, et al.
Publicado: (2024)
por: Dai, Enyan, et al.
Publicado: (2024)
How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment
por: Ma, Bin, et al.
Publicado: (2025)
por: Ma, Bin, et al.
Publicado: (2025)
LiGNN: Graph Neural Networks at LinkedIn
por: Borisyuk, Fedor, et al.
Publicado: (2024)
por: Borisyuk, Fedor, et al.
Publicado: (2024)
Neural Graph Navigation for Intelligent Subgraph Matching
por: Ying, Yuchen, et al.
Publicado: (2025)
por: Ying, Yuchen, et al.
Publicado: (2025)
Shape-aware Graph Spectral Learning
por: Xu, Junjie, et al.
Publicado: (2023)
por: Xu, Junjie, et al.
Publicado: (2023)
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
por: Gu, Xizhi, et al.
Publicado: (2024)
por: Gu, Xizhi, et al.
Publicado: (2024)
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks
por: Dai, Jiazhu, et al.
Publicado: (2025)
por: Dai, Jiazhu, et al.
Publicado: (2025)
LiSA: Lifelong Safety Adaptation via Conservative Policy Induction
por: Kim, Minbeom, et al.
Publicado: (2026)
por: Kim, Minbeom, et al.
Publicado: (2026)
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
por: Hoang, Van Thuy, et al.
Publicado: (2024)
por: Hoang, Van Thuy, et al.
Publicado: (2024)
Detect in Any Scene: An Agentic Framework for Object Detection with Experience-Aware Reasoning
por: Zhang, Wenlun, et al.
Publicado: (2026)
por: Zhang, Wenlun, et al.
Publicado: (2026)
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
por: Liu, Guangyi, et al.
Publicado: (2024)
por: Liu, Guangyi, et al.
Publicado: (2024)
Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies
por: Liu, Fanzhen, et al.
Publicado: (2025)
por: Liu, Fanzhen, et al.
Publicado: (2025)
Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization
por: Tang, Haochun, et al.
Publicado: (2026)
por: Tang, Haochun, et al.
Publicado: (2026)
Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning
por: Li, Kaiyang, et al.
Publicado: (2026)
por: Li, Kaiyang, et al.
Publicado: (2026)
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
por: Yang, Xiaodong, et al.
Publicado: (2024)
por: Yang, Xiaodong, et al.
Publicado: (2024)
Gradient Inversion Attack on Graph Neural Networks
por: Sinha, Divya Anand, et al.
Publicado: (2024)
por: Sinha, Divya Anand, et al.
Publicado: (2024)
Conformalized Link Prediction on Graph Neural Networks
por: Zhao, Tianyi, et al.
Publicado: (2024)
por: Zhao, Tianyi, et al.
Publicado: (2024)
Leveraging Graph Neural Networks to Forecast Electricity Consumption
por: Campagne, Eloi, et al.
Publicado: (2024)
por: Campagne, Eloi, et al.
Publicado: (2024)
Fairness in Graph Learning Augmented with Machine Learning: A Survey
por: Luo, Renqiang, et al.
Publicado: (2025)
por: Luo, Renqiang, et al.
Publicado: (2025)
Subgraph Generation for Generalizing on Out-of-Distribution Links
por: Revolinsky, Jay, et al.
Publicado: (2025)
por: Revolinsky, Jay, et al.
Publicado: (2025)
Unlearning Inversion Attacks for Graph Neural Networks
por: Zhang, Jiahao, et al.
Publicado: (2025)
por: Zhang, Jiahao, et al.
Publicado: (2025)
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling
por: Dong, Zehao, et al.
Publicado: (2024)
por: Dong, Zehao, et al.
Publicado: (2024)
MoSE: Unveiling Structural Patterns in Graphs via Mixture of Subgraph Experts
por: Ye, Junda, et al.
Publicado: (2025)
por: Ye, Junda, et al.
Publicado: (2025)
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
por: Zhan, Haoxi, et al.
Publicado: (2021)
por: Zhan, Haoxi, et al.
Publicado: (2021)
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
por: Choi, Jinhyeok, et al.
Publicado: (2024)
por: Choi, Jinhyeok, et al.
Publicado: (2024)
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
por: Lei, Runlin, et al.
Publicado: (2024)
por: Lei, Runlin, et al.
Publicado: (2024)
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
por: Yan, Junchi, et al.
Publicado: (2024)
por: Yan, Junchi, et al.
Publicado: (2024)
Bridging Theory and Practice in Link Representation with Graph Neural Networks
por: Lachi, Veronica, et al.
Publicado: (2025)
por: Lachi, Veronica, et al.
Publicado: (2025)
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
por: Chen, Yang, et al.
Publicado: (2025)
por: Chen, Yang, et al.
Publicado: (2025)
GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
por: Yang, Yikang, et al.
Publicado: (2026)
por: Yang, Yikang, et al.
Publicado: (2026)
GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
por: Cui, Canyixing, et al.
Publicado: (2026)
por: Cui, Canyixing, et al.
Publicado: (2026)
Instilling Inductive Biases with Subnetworks
por: Zhang, Enyan, et al.
Publicado: (2023)
por: Zhang, Enyan, et al.
Publicado: (2023)
Graph Contrastive Learning with Cohesive Subgraph Awareness
por: Wu, Yucheng, et al.
Publicado: (2024)
por: Wu, Yucheng, et al.
Publicado: (2024)
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
por: Sattar, Asma, et al.
Publicado: (2024)
por: Sattar, Asma, et al.
Publicado: (2024)
Learning Fair Models without Sensitive Attributes: A Generative Approach
por: Zhu, Huaisheng, et al.
Publicado: (2022)
por: Zhu, Huaisheng, et al.
Publicado: (2022)
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
por: Wang, Zhenzhong, et al.
Publicado: (2024)
por: Wang, Zhenzhong, et al.
Publicado: (2024)
Subgraph Networks Based Contrastive Learning
por: Wang, Jinhuan, et al.
Publicado: (2023)
por: Wang, Jinhuan, et al.
Publicado: (2023)
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
por: Alvarez-Gonzalez, Nurudin, et al.
Publicado: (2023)
por: Alvarez-Gonzalez, Nurudin, et al.
Publicado: (2023)
Ejemplares similares
-
SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
por: Zhang, Yuxiang, et al.
Publicado: (2026) -
Poisoning the Inner Prediction Logic of Graph Neural Networks for Clean-Label Backdoor Attacks
por: Zhang, Yuxiang, et al.
Publicado: (2026) -
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
por: Dai, Enyan, et al.
Publicado: (2024) -
How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment
por: Ma, Bin, et al.
Publicado: (2025) -
LiGNN: Graph Neural Networks at LinkedIn
por: Borisyuk, Fedor, et al.
Publicado: (2024)