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Graph Neural Network

Papers

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Showing 1426–1450 of 3598 papers

TitleStatusHype
GraphCNNpred: A stock market indices prediction using a Graph based deep learning system—0
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network—0
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction—0
Structure-Aware Consensus Network on Graphs with Few Labeled NodesCode0
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing—0
Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement LearningCode0
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding—0
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data PredictionCode0
Modeling the Real World with High-Density Visual Particle Dynamics—0
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations—0
Amplify Graph Learning for Recommendation via Sparsity Completion—0
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation—0
Federated Graph Semantic and Structural LearningCode0
Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM)—0
ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions—0
Efficient and Effective Implicit Dynamic Graph Neural NetworkCode0
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics LearningCode0
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification—0
Automatic AI Model Selection for Wireless Systems: Online Learning via Digital TwinningCode0
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network—0
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event DetectionCode0
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer—0
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert DemonstrationsCode0
HIGHT: Hierarchical Graph Tokenization for Molecule-Language Alignment—0
Behavior-Inspired Neural Networks for Relational Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified