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Graph Neural Network

Papers

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Showing 2651–2700 of 3598 papers

TitleStatusHype
Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples—0
Empowering Graph Representation Learning with Paired Training and Graph Co-Attention—0
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction—0
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver—0
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks—0
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning—0
Energy-based Epistemic Uncertainty for Graph Neural Networks—0
Enhanced sampling of Crystal Nucleation with Graph Representation Learnt Variables—0
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks—0
Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics—0
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis—0
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques—0
Enhancing material property prediction with ensemble deep graph convolutional networks—0
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph—0
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management—0
Enhancing Persona Classification in Dialogue Systems: A Graph Neural Network Approach—0
Enhancing Steering Estimation with Semantic-Aware GNNs—0
Ensemble Quadratic Assignment Network for Graph Matching—0
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion—0
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting—0
EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator—0
Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems—0
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph—0
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters—0
ERGNN: Spectral Graph Neural Network With Explicitly-Optimized Rational Graph Filters—0
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding—0
ESIHGNN: Event-State Interactions Infused Heterogeneous Graph Neural Network for Conversational Emotion Recognition—0
Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks—0
Estimating the parameters of epidemic spread on two-layer random graphs: a classical and a neural network approach—0
Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate—0
ETA Prediction with Graph Neural Networks in Google Maps—0
Ethereum Fraud Detection with Heterogeneous Graph Neural Networks—0
E-TSL: A Continuous Educational Turkish Sign Language Dataset with Baseline Methods—0
Evaluating Financial Relational Graphs: Interpretation Before Prediction—0
Evaluating Text Coherence at Sentence and Paragraph Levels—0
Dynamic Fault Characteristics Evaluation in Power Grid—0
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision—0
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory—0
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs—0
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data—0
Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment—0
Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction—0
Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification—0
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks—0
Exploiting Edge Features for Graph Neural Networks—0
Exploiting Edge Features in Graph Neural Networks—0
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs—0
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing—0
Exploiting Positional Information for Session-based Recommendation—0
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning—0
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Benchmark Results

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