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Graph Neural Network

Papers

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Showing 926–950 of 3598 papers

TitleStatusHype
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling—0
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning—0
Ensemble Quadratic Assignment Network for Graph Matching—0
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack—0
Towards a Generic Representation of Combinatorial Problems for Learning-Based ApproachesCode1
Jet Discrimination with Quantum Complete Graph Neural NetworkCode0
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion—0
BloomGML: Graph Machine Learning through the Lens of Bilevel OptimizationCode0
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks—0
LDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features—0
An AI-enabled Agent-Based Model and Its Application in Measles Outbreak Simulation for New Zealand—0
Intent-aware Recommendation via Disentangled Graph Contrastive Learning—0
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention—0
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting—0
Toward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks—0
Subhomogeneous Deep Equilibrium ModelsCode0
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems—0
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D ReassemblyCode2
Using Graph Neural Networks to Predict Local Culture—0
Graph Neural Networks and Arithmetic Circuits—0
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification—0
GNNDLD: Graph Neural Network with Directional Label Distribution—0
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory ArchitecturesCode1
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models—0
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Benchmark Results

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