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Graph Neural Network

Papers

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Showing 851–900 of 3598 papers

TitleStatusHype
Grasper: A Generalist Pursuer for Pursuit-Evasion ProblemsCode0
RiboDiffusion: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion ModelsCode2
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver—0
Fast Polypharmacy Side Effect Prediction Using Tensor Factorisation—0
Multi-objective generative AI for designing novel brain-targeting small molecules—0
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networksCode1
Interpolation and differentiation of alchemical degrees of freedom in machine learning interatomic potentialsCode1
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks—0
Solving the Tree Containment Problem Using Graph Neural NetworksCode0
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature NoiseCode0
Relational Prompt-based Pre-trained Language Models for Social Event DetectionCode0
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis—0
GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks—0
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention—0
Late Breaking Results: Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks—0
NFARec: A Negative Feedback-Aware Recommender ModelCode1
Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach—0
Foundation Models to the Rescue: Deadlock Resolution in Connected Multi-Robot Systems—0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph EmbeddingCode1
HOEG: A New Approach for Object-Centric Predictive Process MonitoringCode0
Back to the Future: GNN-based NO_2 Forecasting via Future CovariatesCode0
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks—0
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection—0
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPUCode1
Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labelingCode0
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models—0
Generative-Contrastive Heterogeneous Graph Neural NetworkCode0
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning—0
DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation—0
EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge GraphsCode0
Constrained Layout Generation with Factor Graphs—0
Beyond the Known: Novel Class Discovery for Open-world Graph Learning—0
On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem—0
Gegenbauer Graph Neural Networks for Time-varying Signal ReconstructionCode0
SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream TasksCode1
Tiny Graph Neural Networks for Radio Resource Management—0
Uplift Modeling Under Limited SupervisionCode0
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks—0
FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality ClassificationCode1
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication ParadigmCode1
Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics—0
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations—0
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural NetworkCode0
EL-MLFFs: Ensemble Learning of Machine Leaning Force Fields—0
Less Is More - On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP—0
Manufacturing Service Capability Prediction with Graph Neural Networks—0
Graph Augmentation for RecommendationCode1
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks—0
Segment Anything Model for Road Network Graph ExtractionCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified