$β$-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation
Fuente:
arXiv
Saved in:
| Main Authors: | Aslan, Haci Ismail, Wiesner, Philipp, Xiong, Ping, Kao, Odej |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Revisiting Gradient Staleness: Evaluating Distance Metrics for Asynchronous Federated Learning Aggregation
by: Wilhelm, Patrick, et al.
Published: (2026)
by: Wilhelm, Patrick, et al.
Published: (2026)
What happens when nanochat meets DiLoCo?
by: Acker, Alexander, et al.
Published: (2025)
by: Acker, Alexander, et al.
Published: (2025)
Noise-aware Client Selection for carbon-efficient Federated Learning via Gradient Norm Thresholding
by: Wilhelm, Patrick, et al.
Published: (2026)
by: Wilhelm, Patrick, et al.
Published: (2026)
LogRCA: Log-based Root Cause Analysis for Distributed Services
by: Wittkopp, Thorsten, et al.
Published: (2024)
by: Wittkopp, Thorsten, et al.
Published: (2024)
Exploring Silent Data Corruption as a Reliability Challenge in LLM Training
by: Altenbernd, Anton, et al.
Published: (2026)
by: Altenbernd, Anton, et al.
Published: (2026)
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
by: Hossain, Tanvir, et al.
Published: (2024)
by: Hossain, Tanvir, et al.
Published: (2024)
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
by: Ai, Xing, et al.
Published: (2024)
by: Ai, Xing, et al.
Published: (2024)
GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning
by: Hu, Xingjian, et al.
Published: (2026)
by: Hu, Xingjian, et al.
Published: (2026)
Enhancing Transformer with GNN Structural Knowledge via Distillation: A Novel Approach
by: Duan, Zhihua, et al.
Published: (2025)
by: Duan, Zhihua, et al.
Published: (2025)
LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)
by: Borisyuk, Fedor, et al.
Published: (2024)
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024)
by: Akansha, S.
Published: (2024)
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks
by: Zhang, Qihai, et al.
Published: (2025)
by: Zhang, Qihai, et al.
Published: (2025)
Efficiency Will Not Lead to Sustainable Reasoning AI
by: Wiesner, Philipp, et al.
Published: (2025)
by: Wiesner, Philipp, et al.
Published: (2025)
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
by: Wang, Zhaoyan, et al.
Published: (2025)
by: Wang, Zhaoyan, et al.
Published: (2025)
Distributed Low-Communication Training with Decoupled Momentum Optimization
by: Nedelkoski, Sasho, et al.
Published: (2025)
by: Nedelkoski, Sasho, et al.
Published: (2025)
A Differential Geometric View and Explainability of GNN on Evolving Graphs
by: Liu, Yazheng, et al.
Published: (2024)
by: Liu, Yazheng, et al.
Published: (2024)
WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series
by: Hajisafi, Arash, et al.
Published: (2024)
by: Hajisafi, Arash, et al.
Published: (2024)
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
by: Mohan, Adithya, et al.
Published: (2025)
by: Mohan, Adithya, et al.
Published: (2025)
Shapley-Value-Based Graph Sparsification for GNN Inference
by: Akkas, Selahattin, et al.
Published: (2025)
by: Akkas, Selahattin, et al.
Published: (2025)
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
by: Luo, Jiayi, et al.
Published: (2025)
by: Luo, Jiayi, et al.
Published: (2025)
Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations
by: González-Santana, Alejandro J., et al.
Published: (2026)
by: González-Santana, Alejandro J., et al.
Published: (2026)
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)
by: Xu, Ruiyao, et al.
Published: (2026)
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
by: Cheng, Xu, et al.
Published: (2025)
by: Cheng, Xu, et al.
Published: (2025)
AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
by: Xu, Junjie, et al.
Published: (2024)
by: Xu, Junjie, et al.
Published: (2024)
ComFairGNN: Community Fair Graph Neural Network
by: Sium, Yonas, et al.
Published: (2024)
by: Sium, Yonas, et al.
Published: (2024)
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
by: Choi, Jinhyeok, et al.
Published: (2024)
by: Choi, Jinhyeok, et al.
Published: (2024)
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
by: Schneckenreiter, Lisa, et al.
Published: (2024)
by: Schneckenreiter, Lisa, et al.
Published: (2024)
Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)
by: Xiong, Jiafeng, et al.
Published: (2025)
Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling
by: Wang, Lingzhi, et al.
Published: (2025)
by: Wang, Lingzhi, et al.
Published: (2025)
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
by: Lukyanov, Kirill, et al.
Published: (2025)
by: Lukyanov, Kirill, et al.
Published: (2025)
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
by: Ding, Mucong, et al.
Published: (2024)
by: Ding, Mucong, et al.
Published: (2024)
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
by: Yan, Qi, et al.
Published: (2023)
by: Yan, Qi, et al.
Published: (2023)
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes
by: Fiori, Michele, et al.
Published: (2025)
by: Fiori, Michele, et al.
Published: (2025)
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
by: Wang, Jie, et al.
Published: (2023)
by: Wang, Jie, et al.
Published: (2023)
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
by: Fang, Junyuan, et al.
Published: (2025)
by: Fang, Junyuan, et al.
Published: (2025)
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
by: Balaji, Vignesh, et al.
Published: (2025)
by: Balaji, Vignesh, et al.
Published: (2025)
A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification
by: Zhang, Lu, et al.
Published: (2025)
by: Zhang, Lu, et al.
Published: (2025)
Similar Items
-
Revisiting Gradient Staleness: Evaluating Distance Metrics for Asynchronous Federated Learning Aggregation
by: Wilhelm, Patrick, et al.
Published: (2026) -
What happens when nanochat meets DiLoCo?
by: Acker, Alexander, et al.
Published: (2025) -
Noise-aware Client Selection for carbon-efficient Federated Learning via Gradient Norm Thresholding
by: Wilhelm, Patrick, et al.
Published: (2026) -
LogRCA: Log-based Root Cause Analysis for Distributed Services
by: Wittkopp, Thorsten, et al.
Published: (2024) -
Exploring Silent Data Corruption as a Reliability Challenge in LLM Training
by: Altenbernd, Anton, et al.
Published: (2026)