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Graph Neural Network

Papers

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Showing 1901–1950 of 3598 papers

TitleStatusHype
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural NetworksCode0
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction—0
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods—0
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems—0
Sequential Monte Carlo Graph Convolutional Network for Dynamic Brain Connectivity—0
GNRK: Graph Neural Runge-Kutta method for solving partial differential equationsCode0
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property PredictionCode0
Generative Design of inorganic compounds using deep diffusion language models—0
ResolvNet: A Graph Convolutional Network with multi-scale Consistency—0
Learning State-Augmented Policies for Information Routing in Communication NetworksCode0
On the Equivalence of Graph Convolution and MixupCode0
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network—0
Controlling Continuous Relaxation for Combinatorial OptimizationCode0
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link PredictionCode0
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems—0
Reinforcement Learning for Node Selection in Branch-and-Bound—0
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations—0
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation—0
XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection—0
HyperTrack: Neural Combinatorics for High Energy PhysicsCode0
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding EvolutionCode0
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information—0
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction—0
Article Classification with Graph Neural Networks and MultigraphsCode0
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening—0
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables—0
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental UpdateCode0
Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning—0
DeepHEN: quantitative prediction essential lncRNA genes and rethinking essentialities of lncRNA genes—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
Efficient Low-Rank GNN Defense Against Structural Attacks—0
DYMAG: Rethinking Message Passing Using Dynamical-systems-based WaveformsCode0
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach—0
VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model—0
XFedHunter: An Explainable Federated Learning Framework for Advanced Persistent Threat Detection in SDN—0
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network?—0
Naturalistic Robot Arm Trajectory Generation via Representation Learning—0
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors—0
Uncertainty-aware Traffic Prediction under Missing DataCode0
Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction—0
PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph ConvolutionsCode0
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery—0
Bregman Graph Neural NetworkCode0
Efficient Network Representation for GNN-based Intrusion Detection—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis—0
Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach—0
Media Moments and Corporate Connections: A Deep Learning Approach to Stock Movement Classification—0
A Long-Tail Friendly Representation Framework for Artist and Music Similarity—0
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