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Graph Neural Network

Papers

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Showing 951–1000 of 3598 papers

TitleStatusHype
Dynamic Localisation of Spatial-Temporal Graph Neural Network—0
Dynamic Load Balancing for EV Charging Stations Using Reinforcement Learning and Demand Prediction—0
Efficient Graph Neural Network Inference at Large Scale—0
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition—0
Dynamic Graph Representation Learning with Neural Networks: A Survey—0
Dynamic Graph Node Classification via Time Augmentation—0
Efficient Learning on Large Graphs using a Densifying Regularity Lemma—0
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations—0
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation—0
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions—0
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach—0
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach—0
Fusion Flow-enhanced Graph Pooling Residual Networks for Unmanned Aerial Vehicles Surveillance in Day and Night Dual Visions—0
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network—0
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks—0
Dynamic graph neural network for fake news detection—0
Building a Graph-based Deep Learning network model from captured traffic traces—0
DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks—0
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes—0
Embedding Symbolic Temporal Knowledge into Deep Sequential Models—0
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation—0
Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples—0
Empowering Graph Representation Learning with Paired Training and Graph Co-Attention—0
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation—0
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers—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
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection—0
Joint Beamforming and Integer User Association using a GNN with Gumbel-Softmax Reparameterizations—0
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning—0
Energy-based Epistemic Uncertainty for Graph Neural Networks—0
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation—0
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection—0
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—0
Characterizing and Understanding Distributed GNN Training on GPUs—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
CHARME: A chain-based reinforcement learning approach for the minor embedding problem—0
Bridging the Semantic-Numerical Gap: A Numerical Reasoning Method of Cross-modal Knowledge Graph for Material Property Prediction—0
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction—0
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs—0
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques—0
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network—0
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection—0
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems—0
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph—0
DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition—0
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified