Image de couverture de livre

Enhancing Robustness of Graph Neural Networks through p-Laplacian

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sirohi, Anuj Kumar, Halder, Subhanu, Kumar, Kabir, Kumar, Sandeep
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Robustness of Graph Neural Networks through p-Laplacian
par: Sirohi, Anuj Kumar, et autres
Publié: (2025)

GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks
par: Sirohi, Anuj Kumar, et autres
Publié: (2024)

Graph-Coarsening for Machine Learning Coarse-grained Molecular Dynamics
par: Mondal, Soumya, et autres
Publié: (2025)

GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
par: Singh, Sukhdeep, et autres
Publié: (2024)

Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics
par: Kumar, Kabir
Publié: (2025)

PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint
par: Chopra, Praveen, et autres
Publié: (2025)

A Posteriori Evaluation of a Physics-Constrained Neural Ordinary Differential Equations Approach Coupled with CFD Solver for Modeling Stiff Chemical Kinetics
par: Kumar, Tadbhagya, et autres
Publié: (2023)

GraphFLEx: Structure Learning Framework for Large Expanding Graphs
par: Kataria, Mohit, et autres
Publié: (2025)

PLGC: Pseudo-Labeled Graph Condensation
par: Nandy, Jay, et autres
Publié: (2026)

Factual and Edit-Sensitive Graph-to-Sequence Generation via Graph-Aware Adaptive Noising
par: Shahane, Aditya Hemant, et autres
Publié: (2026)

A Comprehensive Evaluation of Graph Neural Networks and Physics Informed Learning for Surrogate Modelling of Finite Element Analysis
par: Singh, Nayan Kumar
Publié: (2025)

Solving Robust MDPs through No-Regret Dynamics
par: Guha, Etash Kumar
Publié: (2023)

Integrating Causal Inference with Graph Neural Networks for Alzheimer's Disease Analysis
par: Peddi, Pranay Kumar, et autres
Publié: (2025)

Enhancing Sign Language Detection through Mediapipe and Convolutional Neural Networks (CNN)
par: Verma, Aditya Raj, et autres
Publié: (2024)

Personalized Layer Selection for Graph Neural Networks
par: Sharma, Kartik, et autres
Publié: (2025)

Evidential Uncertainty Probes for Graph Neural Networks
par: Yu, Linlin, et autres
Publié: (2025)

Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems
par: Dawn, Rudrajit, et autres
Publié: (2025)

Neural Ordinary Differential Equations for Modeling Socio-Economic Dynamics
par: Samota, Sandeep Kumar, et autres
Publié: (2026)

Embedded Variational Neural Stochastic Differential Equations for Learning Heterogeneous Dynamics
par: Samota, Sandeep Kumar, et autres
Publié: (2026)

Similarity-Based Self-Construct Graph Model for Predicting Patient Criticalness Using Graph Neural Networks and EHR Data
par: Sahu, Mukesh Kumar, et autres
Publié: (2025)

Beyond the Laplacian: Interpolated Spectral Augmentation for Graph Neural Networks
par: Cui, Ziyao, et autres
Publié: (2025)

Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks
par: Hu, Zhaobo, et autres
Publié: (2026)

AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
par: Kataria, Mohit, et autres
Publié: (2025)

A Gap Between Decision Trees and Neural Networks
par: Kumar, Akash
Publié: (2026)

Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media
par: Patel, Anantram, et autres
Publié: (2025)

Graph Neural Network based Handwritten Trajectories Recognition
par: Sharma, Anuj, et autres
Publié: (2024)

A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction
par: Kumar, Jitendra, et autres
Publié: (2025)

Adversarial Attacks on Locally Private Graph Neural Networks
par: Varun, Matta, et autres
Publié: (2026)

Multimodal Graph Neural Networks for Prognostic Modeling of Brain Network Reorganization
par: Girish, Preksha, et autres
Publié: (2025)

A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
par: Chakraborty, Biswadeep, et autres
Publié: (2024)

A Graph Laplacian Eigenvector-based Pre-training Method for Graph Neural Networks
par: Dai, Howard, et autres
Publié: (2025)

Focus Where It Matters: Graph Selective State Focused Attention Networks
par: Vashistha, Shikhar, et autres
Publié: (2024)

Understanding Generalization, Robustness, and Interpretability in Low-Capacity Neural Networks
par: Kumar, Yash
Publié: (2025)

Learning Neural Networks by Neuron Pursuit
par: Kumar, Akshay, et autres
Publié: (2025)

Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?
par: Ma, Yuhang, et autres
Publié: (2026)

Modularity aided consistent attributed graph clustering via coarsening
par: Bhatia, Samarth, et autres
Publié: (2024)

Enhancing Signed Graph Neural Networks through Curriculum-Based Training
par: Zhang, Zeyu, et autres
Publié: (2023)

MASSFormer: Mobility-Aware Spectrum Sensing using Transformer-Driven Tiered Structure
par: Janu, Dimpal, et autres
Publié: (2024)

QoS-Nets: Adaptive Approximate Neural Network Inference
par: Trommer, Elias, et autres
Publié: (2024)

GINopic: Topic Modeling with Graph Isomorphism Network
par: Adhya, Suman, et autres
Publié: (2024)