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Graph Neural Network

Papers

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Showing 601–650 of 3598 papers

TitleStatusHype
Understanding and Modeling Job Marketplace with Pretrained Language Models—0
Advancing Molecular Machine Learning Representations with Stereoelectronics-Infused Molecular Graphs—0
MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Analysis—0
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs—0
SETN: Stock Embedding Enhanced with Textual and Network Information—0
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks—0
GraphAge: Unleashing the power of Graph Neural Network to Decode Epigenetic AgingCode0
Tailoring Graph Neural Network-based Flow-guided Localization to Individual Bloodstreams and Activities—0
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph EmbeddingCode0
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations—0
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction—0
MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images—0
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks—0
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies—0
RelBench: A Benchmark for Deep Learning on Relational DatabasesCode3
A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation—0
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks—0
Interpretable Triplet Importance for Personalized RankingCode0
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain—0
Graph Residual based Method for Molecular Property Prediction—0
An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case StudyCode0
Multi-turn Response Selection with Commonsense-enhanced Language Models—0
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal DynamicsCode0
Enhancing material property prediction with ensemble deep graph convolutional networks—0
Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit—0
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex NetworkCode1
Context-aware knowledge graph framework for traffic speed forecasting using graph neural networkCode0
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning—0
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky SocialCode0
Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection—0
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation—0
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs—0
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques—0
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric DynamicsCode1
Krait: A Backdoor Attack Against Graph Prompt Tuning—0
SENC: Handling Self-collision in Neural Cloth Simulation—0
Fusion Flow-enhanced Graph Pooling Residual Networks for Unmanned Aerial Vehicles Surveillance in Day and Night Dual Visions—0
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph PredictionsCode0
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework—0
Accounting for Work Zone Disruptions in Traffic Flow Forecasting—0
A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility—0
Rethinking Fair Graph Neural Networks from Re-balancingCode1
SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks—0
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach—0
Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint LearningCode0
Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space Distances—0
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions—0
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification—0
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image ClassificationCode0
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Benchmark Results

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