graph-neural-networks

Documents about graph-neural-networks

• Graph neural networks at war: integrating cybersecurity and drone intelligence in the Israeli-Iranian conflict#282739arXiv CS
• Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation#386862arXiv CS
• Graph Learning on Ensembles of Cyclic Peptides: An Investigation of Molecular Ensemble Modeling#394391arXiv CS
• TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion#422258arXiv CS
• GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care#444634arXiv CS
• A comprehensive survey on graph neural networks for gene regulatory network inference.#480960NCBI PubMed Central
• Beyond Flat Netlist: Hierarchical Graph Representation Learning for Scalable Analysis of Sequential Circuits#618582arXiv CS
• Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)#673529arXiv CS
• Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts#921133arXiv (OAI Expanded)
• Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts#925369arXiv (All)
• Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion#965408arXiv CS
• Polaritonic Machine Learning for Graph-based Data Analysis#986786arXiv (All)
• Particle Competition and Cooperation for Robust Graph Convolutional Network Learning Under Label Noise#1006834arXiv CS
• TARGet: Topology-Aware Fusion-based Radio Frequency Circuit Functional Modeling using Graph Neural Networks#1036848arXiv (All)
• From graph models to intelligent decision-making: a review of spatio-temporal graph neural networks for regional disease risk prediction and etiology mining.#433743NCBI PubMed Central
• Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks#668499arXiv (OAI Expanded)
• Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks#670564arXiv (All)
• A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions#200894OpenAlex
• ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation#14006arXiv CS
• Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis#135248Semantic Scholar
• Representation learning of crystal materials using Graph Neural Networks: Passive symmetry challenges and advances.#145904NCBI PubMed Central
• Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images#151757arXiv CS
• OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction#238609arXiv CS
• GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks#343464arXiv CS
• MobiWave: Dispatch-Oriented Graph Wavelets and Drift-Guided Selective Optimization for Autonomous Fleet Rebalancing#405677arXiv CS
• Hierarchical semantic extraction and heterogeneous graph neural networks for event-driven time series forecasting.#479480NCBI PubMed Central
• Learning Optimal Dynamic Matching via Graph Neural Networks#614165arXiv (OAI Expanded)
• Learning Optimal Dynamic Matching via Graph Neural Networks#615132arXiv (All)
• A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN#632855arXiv CS
• ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows#668043arXiv CS
• LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks#926498arXiv (All)
• Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion#1012051arXiv (All)
• Effects of relational graph modularity and depth on the learning performance of neural networks#986785arXiv (All)
• Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series#222591arXiv CS
• LSTM-attention-guided graph neural networks for integrated genotype-Environment modeling in maize yield prediction.#236356NCBI PubMed Central
• GRASP: Plan-Guided Graph Retrieval with Adaptive Fusion and Reranking on Semi-Structured Knowledge Bases#238610arXiv CS
• P-K-GCN: Physics-augmented Koopman-enhanced Graph Convolutional Network for Deep Spatiotemporal Super-resolution#287114arXiv CS
• MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning#353046arXiv CS
• ChronoQG: Towards a Temporally Expressive and Hop-Bounded Benchmark for Temporal Knowledge Graph Question Generation#373406arXiv CS
• No Data Is Not No Risk: Visibility Aware Graph-Based Inference of Business Conduct Risk#411063arXiv CS
• Graph neural networks for networked analysis of gestational diabetes risk factors: a multi method framework.#472758NCBI PubMed Central
• GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks#628222arXiv (OAI Expanded)
• GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks#630084arXiv (All)
• TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detection#656818arXiv (OAI Expanded)
• Hidden Axis of Uncertainty: Latent-Posterior Alignment in Graph Neural Networks with Bayesian Output Layers#657172arXiv (OAI Expanded)
• TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detection#658954arXiv (All)
• Hidden Axis of Uncertainty: Latent-Posterior Alignment in Graph Neural Networks with Bayesian Output Layers#659308arXiv (All)
• Out-of-Distribution Inverse Design of Elastic Networks with Differentiable Graph Neural Network Molecular Dynamics#974759arXiv (All)
• Camouflage-resistant graph neural networks for power grid anomaly detection#990027Springer Nature OA
• Efficient Graph Neural Networks for Multicarrier Wideband Hybrid Beamforming Optimization#996536arXiv (All)