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Graph Neural Network

Papers

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Showing 1801–1825 of 3598 papers

TitleStatusHype
MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures—0
Hyper-Relational Knowledge Graph Neural Network for Next POI—0
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning—0
Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network—0
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction—0
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation—0
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks—0
Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD SimulationCode0
Advancing Fluid-Based Thermal Management Systems Design: Leveraging Graph Neural Networks for Graph Regression and Efficient Enumeration Reduction—0
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs—0
BHGNN-RT: Network embedding for directed heterogeneous graphsCode0
Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion—0
Complexity-Guided Curriculum Learning for Text Graphs—0
Power grid operational risk assessment using graph neural network surrogates—0
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science—0
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs—0
Node Classification in Random TreesCode0
Graph Sparsifications using Neural Network Assisted Monte Carlo Tree SearchCode0
Language Semantic Graph Guided Data-Efficient LearningCode0
Predicting Scientific Impact Through Diffusion, Conformity, and Contribution DisentanglementCode0
Mobility-Induced Graph Learning for WiFi Positioning—0
SceneScore: Learning a Cost Function for Object Arrangement—0
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network ApproachCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified