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Graph Neural Network

Papers

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Showing 1051–1100 of 3598 papers

TitleStatusHype
DRIFT: Deep Reinforcement Learning for Functional Software Testing—0
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks—0
Dress Well via Fashion Cognitive Learning—0
Bridging Social Media and Search Engines: Dredge Words and the Detection of Unreliable Domains—0
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems—0
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction—0
GINA: Neural Relational Inference From Independent Snapshots—0
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations—0
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations—0
DOVA-PATBM: An Intelligent, Adaptive, and Scalable Framework for Optimizing Large-Scale EV Charging Infrastructure—0
Boundary Content Graph Neural Network for Temporal Action Proposal Generation—0
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks—0
Multimodal Audio-Visual Information Fusion using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement—0
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation—0
Boosting Neural Networks to Decompile Optimized Binaries—0
Get the Point! Graph Enhanced Candidate Retrieval for Zero-shot Entity Linking—0
Training Graph Neural Networks Using Non-Robust Samples—0
A multimedia recommendation model based on collaborative graph—0
GHOST: A Graph Neural Network Accelerator using Silicon Photonics—0
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks—0
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification—0
Amplify Graph Learning for Recommendation via Sparsity Completion—0
Domain Generalization Deep Graph Transformation—0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition—0
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling—0
Do graph neural network states contain graph properties?—0
Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network—0
ADiag: Graph Neural Network Based Diagnosis of Alzheimer's Disease—0
GeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural Network Model for Ames Mutagenicity Prediction—0
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation—0
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks—0
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series—0
DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions—0
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training—0
Variational inference of fractional Brownian motion with linear computational complexity—0
Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning—0
A Model-based GNN for Learning Precoding—0
Distribution Preserving Graph Representation Learning—0
A Deep Graph Neural Network-Based Mechanism for Social Recommendations—0
Blockchain Phishing Scam Detection via Multi-channel Graph Classification—0
Geometric Random Walk Graph Neural Networks via Implicit Layers—0
Geometric Reasoning in the Embedding Space—0
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information—0
Addressing Heterogeneity and Heterophily in Graphs: A Heterogeneous Heterophilic Spectral Graph Neural Network—0
Distributed Matrix-Based Sampling for Graph Neural Network Training—0
Distributed Graph Neural Network Training: A Survey—0
Abstract Diagrammatic Reasoning with Multiplex Graph Networks—0
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization—0
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs—0
Distributed Cooperative Positioning in Dense Wireless Networks: A Neural Network Enhanced Fast Convergent Parametric Message Passing Method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified