Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Said, Anwar, Ahmad, Obaid Ullah, Abbas, Waseem, Shabbir, Mudassir, Koutsoukos, Xenofon |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
par: Said, Anwar, et autres
Publié: (2025)
par: Said, Anwar, et autres
Publié: (2025)
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
par: Ahmad, Obaid Ullah, et autres
Publié: (2024)
par: Ahmad, Obaid Ullah, et autres
Publié: (2024)
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
par: Ahmad, Obaid Ullah, et autres
Publié: (2025)
par: Ahmad, Obaid Ullah, et autres
Publié: (2025)
PropEnc: A Property Encoder for Graph Neural Networks
par: Said, Anwar, et autres
Publié: (2024)
par: Said, Anwar, et autres
Publié: (2024)
Robust Anomaly Detection with Graph Neural Networks using Controllability
par: Wei, Yifan, et autres
Publié: (2025)
par: Wei, Yifan, et autres
Publié: (2025)
A Survey of Graph Unlearning
par: Said, Anwar, et autres
Publié: (2023)
par: Said, Anwar, et autres
Publié: (2023)
An Upper Bound on Generalized Cospectral Mates of Oriented Graphs Using Skew-Walk Matrices
par: Raza, Muhammad, et autres
Publié: (2025)
par: Raza, Muhammad, et autres
Publié: (2025)
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
par: Said, Anwar, et autres
Publié: (2023)
par: Said, Anwar, et autres
Publié: (2023)
Quantifying the Generalization Gap: A New Benchmark for Out-of-Distribution Graph-Based Android Malware Classification
par: Tran, Ngoc N., et autres
Publié: (2025)
par: Tran, Ngoc N., et autres
Publié: (2025)
On the number of generalized cospectral mates of graphs
par: Raza, Muhammad, et autres
Publié: (2026)
par: Raza, Muhammad, et autres
Publié: (2026)
Resilient Peer-to-peer Learning based on Adaptive Aggregation
par: Bhowmick, Chandreyee, et autres
Publié: (2025)
par: Bhowmick, Chandreyee, et autres
Publié: (2025)
Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
par: Ge, Qinwen, et autres
Publié: (2025)
par: Ge, Qinwen, et autres
Publié: (2025)
Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents
par: Samaddar, Ankita, et autres
Publié: (2024)
par: Samaddar, Ankita, et autres
Publié: (2024)
Walk Matrix-Based Upper Bounds on Generalized Cospectral Mates
par: Raza, Muhammad, et autres
Publié: (2025)
par: Raza, Muhammad, et autres
Publié: (2025)
Reward Shaping and Action Masking for Compositional Tasks using Behavior Trees and LLMs
par: Potteiger, Nicholas, et autres
Publié: (2026)
par: Potteiger, Nicholas, et autres
Publié: (2026)
Designing Robust Cyber-Defense Agents with Evolving Behavior Trees
par: Potteiger, Nicholas, et autres
Publié: (2024)
par: Potteiger, Nicholas, et autres
Publié: (2024)
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
par: Hosseini, Ryien, et autres
Publié: (2025)
par: Hosseini, Ryien, et autres
Publié: (2025)
Improving Machine Learning Performance with Synthetic Augmentation
par: Sohm, Mel, et autres
Publié: (2026)
par: Sohm, Mel, et autres
Publié: (2026)
Dynamic Model Switching for Improved Accuracy in Machine Learning
par: Hasani, Syed Tahir Abbas
Publié: (2024)
par: Hasani, Syed Tahir Abbas
Publié: (2024)
Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning
par: Wang, Runzhong, et autres
Publié: (2025)
par: Wang, Runzhong, et autres
Publié: (2025)
Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory
par: Anwar, Usman, et autres
Publié: (2026)
par: Anwar, Usman, et autres
Publié: (2026)
Using Graph Theory for Improving Machine Learning-based Detection of Cyber Attacks
par: Zonneveld, Giacomo, et autres
Publié: (2024)
par: Zonneveld, Giacomo, et autres
Publié: (2024)
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
par: Azad, Amitoz, et autres
Publié: (2024)
par: Azad, Amitoz, et autres
Publié: (2024)
An Improved Ensemble-Based Machine Learning Model with Feature Optimization for Early Diabetes Prediction
par: Islam, Md. Najmul, et autres
Publié: (2025)
par: Islam, Md. Najmul, et autres
Publié: (2025)
Cooperative Task Offloading through Asynchronous Deep Reinforcement Learning in Mobile Edge Computing for Future Networks
par: Liu, Yuelin, et autres
Publié: (2025)
par: Liu, Yuelin, et autres
Publié: (2025)
Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
par: Qiao, Lianpeng, et autres
Publié: (2025)
par: Qiao, Lianpeng, et autres
Publié: (2025)
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
par: Hamidieh, Kimia, et autres
Publié: (2024)
par: Hamidieh, Kimia, et autres
Publié: (2024)
Feature Network Methods in Machine Learning and Applications
par: Mu, Xinying, et autres
Publié: (2024)
par: Mu, Xinying, et autres
Publié: (2024)
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
par: Lefebvre, Félix, et autres
Publié: (2025)
par: Lefebvre, Félix, et autres
Publié: (2025)
A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
par: Shakya, Sushil, et autres
Publié: (2024)
par: Shakya, Sushil, et autres
Publié: (2024)
Towards MLOps: A DevOps Tools Recommender System for Machine Learning System
par: Shah, Pir Sami Ullah, et autres
Publié: (2024)
par: Shah, Pir Sami Ullah, et autres
Publié: (2024)
Feature-based Graph Attention Networks Improve Online Continual Learning
par: Sim, Adjovi, et autres
Publié: (2025)
par: Sim, Adjovi, et autres
Publié: (2025)
Fairness in Graph Learning Augmented with Machine Learning: A Survey
par: Luo, Renqiang, et autres
Publié: (2025)
par: Luo, Renqiang, et autres
Publié: (2025)
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
par: Chu, Xu, et autres
Publié: (2025)
par: Chu, Xu, et autres
Publié: (2025)
Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction
par: Al-Batah, Mohammad Subhi, et autres
Publié: (2025)
par: Al-Batah, Mohammad Subhi, et autres
Publié: (2025)
Learning to Control the Smoothness of Graph Convolutional Network Features
par: Wang, Shih-Hsin, et autres
Publié: (2024)
par: Wang, Shih-Hsin, et autres
Publié: (2024)
Contextual Graph Matching with Correlated Gaussian Features
par: Yarandi, Mohammad Hassan Ahmad, et autres
Publié: (2026)
par: Yarandi, Mohammad Hassan Ahmad, et autres
Publié: (2026)
Machine Learning for Improved Density Functional Theory Thermodynamics
par: Simak, Sergei I., et autres
Publié: (2025)
par: Simak, Sergei I., et autres
Publié: (2025)
Overcoming Data Limitations in Internet Traffic Forecasting: LSTM Models with Transfer Learning and Wavelet Augmentation
par: Saha, Sajal, et autres
Publié: (2024)
par: Saha, Sajal, et autres
Publié: (2024)
Machine Learning based Analysis for Radiomics Features Robustness in Real-World Deployment Scenarios
par: Khan, Sarmad Ahmad, et autres
Publié: (2025)
par: Khan, Sarmad Ahmad, et autres
Publié: (2025)
Documents similaires
-
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
par: Said, Anwar, et autres
Publié: (2025) -
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
par: Ahmad, Obaid Ullah, et autres
Publié: (2024) -
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
par: Ahmad, Obaid Ullah, et autres
Publié: (2025) -
PropEnc: A Property Encoder for Graph Neural Networks
par: Said, Anwar, et autres
Publié: (2024) -
Robust Anomaly Detection with Graph Neural Networks using Controllability
par: Wei, Yifan, et autres
Publié: (2025)