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Graph Neural Network

Papers

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Showing 1–25 of 3598 papers

TitleStatusHype
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in ConversationCode0
Multi-Channel Graph Neural Network for Financial Risk Prediction of NEEQ Enterprises—0
Catching Bid-rigging Cartels with Graph Attention Neural Networks—0
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming—0
Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chain—0
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning—0
High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction—0
Graph Collaborative Attention Network for Link Prediction in Knowledge GraphsCode0
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business ProcessesCode0
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles—0
Task-Agnostic Contrastive Pretraining for Relational Deep Learning—0
Directed Link Prediction using GNN with Local and Global Feature Fusion—0
Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning—0
Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression—0
TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs—0
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph EmbeddingsCode1
UT-GraphCast Hindcast Dataset: A Global AI Forecast Archive from UT Austin for Weather and Climate Applications—0
DOVA-PATBM: An Intelligent, Adaptive, and Scalable Framework for Optimizing Large-Scale EV Charging Infrastructure—0
Beyond Force Metrics: Pre-Training MLFFs for Stable MD Simulations—0
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs—0
AST-Enhanced or AST-Overloaded? The Surprising Impact of Hybrid Graph Representations on Code Clone DetectionCode0
Refining music sample identification with a self-supervised graph neural networkCode1
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations—0
KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections—0
Graph Semi-Supervised Learning for Point Classification on Data Manifolds—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified