Cover Image

RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Shuqi, Zhuang, Jun, Wang, Ding, Song, Jun
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
by: He, Shuqi, et al.
Published: (2024)

RIFT: Repurposing Negative Samples via Reward-Informed Fine-Tuning
by: Liu, Zehua, et al.
Published: (2026)

DiRW: Path-Aware Digraph Learning for Heterophily
by: Su, Daohan, et al.
Published: (2024)

FLAIN: Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons
by: Ding, Binbin, et al.
Published: (2024)

Direct Soft-Policy Sampling via Langevin Dynamics
by: Ki, Donghyeon, et al.
Published: (2026)

Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation
by: Zhao, Chu, et al.
Published: (2025)

Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach
by: Han, Minghao, et al.
Published: (2026)

Aligning AI Agents via Information-Directed Sampling
by: Jeon, Hong Jun, et al.
Published: (2024)

Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
by: Zhao, Jiale, et al.
Published: (2024)

Evaluating Negative Sampling Approaches for Neural Topic Models
by: Adhya, Suman, et al.
Published: (2025)

Boosting Protein Language Models with Negative Sample Mining
by: Xu, Yaoyao, et al.
Published: (2024)

Momentum Contrastive Learning with Enhanced Negative Sampling and Hard Negative Filtering
by: Hoang, Duy, et al.
Published: (2025)

Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation
by: Jiang, Jie, et al.
Published: (2026)

From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2024)

Sample-aware Adaptive Structured Pruning for Large Language Models
by: Kong, Jun, et al.
Published: (2025)

SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
by: Ai, Xing, et al.
Published: (2024)

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
by: Luo, Jiayi, et al.
Published: (2025)

Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client
by: Xia, Jun, et al.
Published: (2024)

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency
by: Liu, Zhihan, et al.
Published: (2023)

Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning
by: Kim, Taejin, et al.
Published: (2023)

REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)

Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
by: Choi, Youngjun, et al.
Published: (2025)

Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning
by: Di, Zixiang, et al.
Published: (2026)

Robust Causal Discovery under Imperfect Structural Constraints
by: Wang, Zidong, et al.
Published: (2025)

Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning
by: Zhuang, Jun, et al.
Published: (2024)

TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks
by: Zhang, Qihai, et al.
Published: (2025)

Fooling SHAP with Output Shuffling Attacks
by: Yuan, Jun, et al.
Published: (2024)

NeFT: Negative Feedback Training to Improve Robustness of Compute-In-Memory DNN Accelerators
by: Qin, Yifan, et al.
Published: (2023)

GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
by: Cui, Canyixing, et al.
Published: (2026)

Value-Based Pre-Training with Downstream Feedback
by: Ke, Shuqi, et al.
Published: (2026)

Partial Domain Adaptation via Importance Sampling-based Shift Correction
by: Guo, Cheng-Jun, et al.
Published: (2025)

Verification of Bit-Flip Attacks against Quantized Neural Networks
by: Zhang, Yedi, et al.
Published: (2025)

Enhancing Transformer with GNN Structural Knowledge via Distillation: A Novel Approach
by: Duan, Zhihua, et al.
Published: (2025)

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

GeNeRT: A Physics-Informed Approach to Intelligent Wireless Channel Modeling via Generalizable Neural Ray Tracing
by: Bian, Kejia, et al.
Published: (2025)

Curriculum Negative Mining For Temporal Networks
by: Chen, Ziyue, et al.
Published: (2024)

How Can LLM Guide RL? A Value-Based Approach
by: Zhang, Shenao, et al.
Published: (2024)

Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
by: He, Yiting, et al.
Published: (2025)

OpenKedge: Governing Agentic Mutation with Execution-Bound Safety and Evidence Chains
by: He, Jun, et al.
Published: (2026)

Verifiable Agentic Infrastructure: Proof-Derived Authorization for Sovereign AI Systems
by: He, Jun, et al.
Published: (2026)