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Graph Neural Network

Papers

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Showing 2351–2400 of 3598 papers

TitleStatusHype
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling—0
Scalable Graph Neural Network Training: The Case for Sampling—0
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks—0
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors—0
Scalable Polar Code Construction for Successive Cancellation List Decoding: A Graph Neural Network-Based Approach—0
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach—0
Scalable Property Valuation Models via Graph-based Deep Learning—0
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN—0
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning—0
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans—0
Scene Essence—0
SceneScore: Learning a Cost Function for Object Arrangement—0
ScheduleNet: Learn to Solve MinMax mTSP Using Reinforcement Learning with Delayed Reward—0
Schema Graph-Guided Prompt for Multi-Domain Dialogue State Tracking—0
Scientific Paper Classification Based on Graph Neural Network with Hypergraph Self-attention Mechanism—0
Scoreformer: A Surrogate Model For Large-Scale Prediction of Docking Scores—0
SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs—0
Search Strategy Generation for Branch and Bound Using Genetic Programming—0
Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics—0
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models—0
Seg-HGNN: Unsupervised and Light-Weight Image Segmentation with Hyperbolic Graph Neural Networks—0
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment—0
SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment—0
Self-Evaluation for Job-Shop Scheduling—0
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering—0
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery—0
Self-supervised Graph Neural Network for Mechanical CAD Retrieval—0
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks—0
Self-supervised Graph Representation Learning for Black Market Account Detection—0
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection—0
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles—0
Self-supervised Spatio-Temporal Graph Mask-Passing Attention Network for Perceptual Importance Prediction of Multi-point Tactility—0
Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in Videos—0
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification—0
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models—0
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition—0
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network—0
Semantic Parsing for Question Answering over Knowledge Graphs—0
Semantics-enhanced Temporal Graph Networks for Content Popularity Prediction—0
SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics—0
Semantic tradeoff for heterogeneous graph embedding—0
Semi-decentralized Federated Ego Graph Learning for Recommendation—0
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation—0
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction—0
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks—0
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships—0
Semi-supervised Graph Neural Network for Particle-level Noise Removal—0
Semi-Weakly Supervised Object Kinematic Motion Prediction—0
SENC: Handling Self-collision in Neural Cloth Simulation—0
Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified