:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ai, Xing, Zhu, Guanyu, Zhu, Yulin, Zheng, Yu, Li, Gaolei, Li, Jianhua, Zhou, Kai
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2408.16537
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks
by: Lai, Yuni, et al.
Published: (2025)

Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions
by: Yang, Xiao, et al.
Published: (2024)

Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
by: Zhang, Hongyuan, et al.
Published: (2023)

Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models
by: Yang, Xiao, et al.
Published: (2024)

GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning
by: Hu, Xingjian, et al.
Published: (2026)

GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph
by: Luo, Yuebo, et al.
Published: (2026)

Towards Robust Graph Structural Learning Beyond Homophily via Preserving Neighbor Similarity
by: Zhu, Yulin, et al.
Published: (2024)

Provably Robust Adaptation for Language-Empowered Foundation Models
by: Lai, Yuni, et al.
Published: (2025)

How Hard Is It for Message-Passing GNNs to Simulate One Weisfeiler-Lehman Color-Refinement Step?
by: Cui, Guanyu, et al.
Published: (2024)

LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN
by: Zhang, Yuxing, et al.
Published: (2024)

GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs
by: Li, Ruifeng, et al.
Published: (2024)

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
by: Li, Ang, et al.
Published: (2025)

Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
by: Zhong, Xuyang, et al.
Published: (2025)

$β$-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation
by: Aslan, Haci Ismail, et al.
Published: (2025)

Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models
by: Xue, Xiaoyu, et al.
Published: (2025)

GNN for Structural Displacement Prediction
by: Chang, Hung-Fu, et al.
Published: (2026)

TimeGNN-Augmented Hybrid-Action MARL for Fine-Grained Task Partitioning and Energy-Aware Offloading in MEC
by: Ai, Wei, et al.
Published: (2026)

Robust Graph Contrastive Learning with Information Restoration
by: Zhu, Yulin, et al.
Published: (2023)

LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)

TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
by: Wang, Jie, et al.
Published: (2023)

GraphBridge: Towards Arbitrary Transfer Learning in GNNs
by: Ju, Li, et al.
Published: (2025)

A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
by: Liao, Ningyi, et al.
Published: (2024)

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
by: Guo, Kai, et al.
Published: (2024)

Acceleration Algorithms in GNNs: A Survey
by: Ma, Lu, et al.
Published: (2024)

Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
by: Ferrini, Francesco, et al.
Published: (2026)

Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
by: Wang, Zhaoyan, et al.
Published: (2025)

Deep Causal Learning to Explain and Quantify The Geo-Tension's Impact on Natural Gas Market
by: Peter, Philipp Kai, et al.
Published: (2024)

ThinkTrap: Denial-of-Service Attacks against Black-box LLM Services via Infinite Thinking
by: Li, Yunzhe, et al.
Published: (2025)

A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025)

Robust Subspace-Constrained Quadratic Models for Low-Dimensional Structure Learning
by: Zhai, Zheng, et al.
Published: (2026)

Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
by: Li, Xuancheng, et al.
Published: (2026)

A Survey on Physical Adversarial Attacks against Face Recognition Systems
by: Wang, Mingsi, et al.
Published: (2024)

Understanding Expressivity of GNN in Rule Learning
by: Qiu, Haiquan, et al.
Published: (2023)

Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis
by: Li, Zhifei, et al.
Published: (2024)

Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
by: Ye, Kai, et al.
Published: (2025)

Doubly Robust Alignment for Large Language Models
by: Xu, Erhan, et al.
Published: (2025)

The Eminence in Shadow: Exploiting Feature Boundary Ambiguity for Robust Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)

Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
by: Zhang, Yuxiang, et al.
Published: (2024)

Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm
by: Liu, Meng, et al.
Published: (2022)

Adversarial Robustness of Link Sign Prediction in Signed Graphs
by: Zhou, Jialong, et al.
Published: (2024)