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Graph Neural Network

Papers

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Showing 1901–1950 of 3598 papers

TitleStatusHype
Task-Agnostic Contrastive Pretraining for Relational Deep Learning—0
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation—0
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer—0
Technical report: Graph Neural Networks go Grammatical—0
TeKo: Text-Rich Graph Neural Networks with External Knowledge—0
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services—0
TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling—0
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction—0
Temporal aware Multi-Interest Graph Neural Network For Session-based Recommendation—0
Temporal Collaborative Filtering with Graph Convolutional Neural Networks—0
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks—0
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks—0
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition—0
Fast Polypharmacy Side Effect Prediction Using Tensor Factorisation—0
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks—0
Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks—0
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks—0
Text classification optimization algorithm based on graph neural network—0
Text Graph Transformer for Document Classification—0
TextRGNN: Residual Graph Neural Networks for Text Classification—0
TGNN: A Joint Semi-supervised Framework for Graph-level Classification—0
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data—0
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection—0
The expressive power of kth-order invariant graph networks—0
The Graph feature fusion technique for speaker recognition based on wav2vec2.0 framework—0
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration—0
The μG Language for Programming Graph Neural Networks—0
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems—0
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science—0
Theoretically Expressive and Edge-aware Graph Learning—0
"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping—0
Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)—0
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression—0
The Role of Entropy in Guiding a Connection Prover—0
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts—0
Three-dimensional granular flow simulation using graph neural network-based learned simulator—0
Three iterations of (d-1)-WL test distinguish non isometric clouds of d-dimensional points—0
TIMBRE: Efficient Job Recommendation On Heterogeneous Graphs For Professional Recruiters—0
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation—0
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance—0
Time-Series Graph Network for Sea Surface Temperature Prediction—0
Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes—0
Time-varying Signals Recovery via Graph Neural Networks—0
Tiny Graph Neural Networks for Radio Resource Management—0
To Bin or not to Bin: Alternative Representations of Mass Spectra—0
Topics in Deep Learning and Optimization Algorithms for IoT Applications in Smart Transportation—0
Topological, or Non-topological? A Deep Learning Based Prediction—0
Topological Regularization for Graph Neural Networks Augmentation—0
Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems—0
Graph Neural Networks for Fast Contingency Analysis of Power Systems—0
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