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Graph Neural Network

Papers

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Showing 1801–1850 of 3598 papers

TitleStatusHype
Delay-aware Backpressure Routing Using Graph Neural NetworksCode0
GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modelingCode2
Recommending Related Products Using Graph Neural Networks in Directed Graphs—0
DGRec: Graph Neural Network for Recommendation with Diversified Embedding GenerationCode1
Multi-task Learning for Sparse Traffic ForecastingCode1
Abstractive Summarization Guided by Latent Hierarchical Document StructureCode1
Prototype-based Interpretable Graph Neural NetworksCode0
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network—0
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks—0
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural NetworksCode0
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems—0
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation—0
Similarity-based Feature Extraction for Large-scale Sparse Traffic ForecastingCode0
Learning Stable Graph Neural Networks via Spectral Regularization—0
A Scalable Graph Neural Network Decoder for Short Block Codes—0
Innovative Drug-like Molecule Generation from Flow-based Generative Model—0
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective—0
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell GraphsCode1
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling—0
Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples—0
Contrastive Self-Supervised Learning for Skeleton Representations—0
GREENER: Graph Neural Networks for News Media Profiling—0
Flaky Performances when Pretraining on Relational Databases—0
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation—0
Review of coreference resolution in English and Persian—0
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI AcceleratorsCode0
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network—0
NSNet: A General Neural Probabilistic Framework for Satisfiability ProblemsCode1
Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network—0
Application of Graph Neural Networks and graph descriptors for graph classification—0
Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEGCode0
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying GlassCode0
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach—0
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems—0
Inductive Graph Transformer for Delivery Time EstimationCode0
Materials Property Prediction with Uncertainty Quantification: A Benchmark StudyCode1
Geometry-Complete Perceptron Networks for 3D Molecular GraphsCode1
PCQA-GRAPHPOINT: Efficients Deep-Based Graph Metric For Point Cloud Quality Assessment—0
Scalable Multi-Agent Reinforcement Learning through Intelligent Information AggregationCode1
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing—0
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning TasksCode1
Efficient Graph Neural Network Inference at Large Scale—0
Distributed Graph Neural Network Training: A Survey—0
Leveraging commonsense for object localisation in partial scenes—0
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science—0
Learning Modular Robot Locomotion from Demonstrations—0
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning NetworksCode2
GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking—0
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers—0
Learning to Compare Nodes in Branch and Bound with Graph Neural NetworksCode1
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