:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liang, Wenjie, Yan, Ranhui, Cai, Jia, Wang, You-Gan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning I.2
Online Access:	https://arxiv.org/abs/2602.01113
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
by: Yan, Ranhui, et al.
Published: (2025)

APC-GNN++: An Adaptive Patient-Centric GNN with Context-Aware Attention and Mini-Graph Explainability for Diabetes Classification
by: Berkani, Khaled
Published: (2025)

Dynamic Graph Representation Learning via Edge Temporal States Modeling and Structure-reinforced Transformer
by: Hu, Shengxiang, et al.
Published: (2023)

GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
by: Kalifa, Dan, et al.
Published: (2024)

Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks
by: Zanardini, Damiano, et al.
Published: (2024)

CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs
by: Zhang, Tianming, et al.
Published: (2025)

Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedback
by: Li, Gen, et al.
Published: (2026)

Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations
by: Mandarapu, Madhulatha, et al.
Published: (2026)

Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
by: Lee, Jongha, et al.
Published: (2025)

CPT: Competence-progressive Training Strategy for Few-shot Node Classification
by: Yan, Qilong, et al.
Published: (2024)

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs
by: Hill, Brennen, et al.
Published: (2025)

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

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
by: Chen, Jiameng, et al.
Published: (2025)

Graph Retention Networks for Dynamic Graphs
by: Chang, Qian, et al.
Published: (2024)

Node-Level Uncertainty Estimation in LLM-Generated SQL
by: Hasson, Hilaf, et al.
Published: (2025)

Graph Neural Network Based Action Ranking for Planning
by: Mangannavar, Rajesh, et al.
Published: (2024)

A Survey of Graph Neural Networks for Drug Discovery: Recent Developments and Challenges
by: Berry, Katherine, et al.
Published: (2025)

Predictive Quality Assessment for Mobile Secure Graphics
by: Steigstra, Cas, et al.
Published: (2025)

Graph Neural Network for Crawling Target Nodes in Social Networks
by: Lukyanov, Kirill, et al.
Published: (2024)

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
by: Wang, Xudong, et al.
Published: (2025)

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics
by: Kamp, Sebestyén, et al.
Published: (2025)

Adaptive Riemannian Graph Neural Networks
by: Wang, Xudong, et al.
Published: (2025)

Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
by: Motta, Steven, et al.
Published: (2026)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
by: Yan, Peng, et al.
Published: (2023)

Learning Actionable World Models for Industrial Process Control
by: Yan, Peng, et al.
Published: (2025)

Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations
by: Mukherjee, Kunal, et al.
Published: (2025)

MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions
by: Zhao, Minwei, et al.
Published: (2025)

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning
by: Salahshour, Mahdi, et al.
Published: (2024)

Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
by: Alsheikh, Ahmad, et al.
Published: (2025)

Sparsification and Reconstruction from the Perspective of Representation Geometry
by: Sun, Wenjie, et al.
Published: (2025)

The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
by: Karn, Isha, et al.
Published: (2025)

Unmasking Airborne Threats: Guided-Transformers for Portable Aerosol Mass Spectrometry
by: Regan, Kyle M., et al.
Published: (2025)

RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment
by: Jaber, Jaber, et al.
Published: (2026)

Towards Improved Research Methodologies for Industrial AI: A case study of false call reduction
by: Pfab, Korbinian, et al.
Published: (2025)

FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization
by: Chakraborty, Sujan, et al.
Published: (2025)

ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels
by: Sahoo, Rishi Raj, et al.
Published: (2025)

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction
by: Niu, Yingjie, et al.
Published: (2025)

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
by: Agia, Christopher, et al.
Published: (2024)

A Finite-State Controller Based Offline Solver for Deterministic POMDPs
by: Schutz, Alex, et al.
Published: (2025)

Bi-View Embedding Fusion: A Hybrid Learning Approach for Knowledge Graph's Nodes Classification Addressing Problems with Limited Data
by: Napoli, Rosario, et al.
Published: (2025)