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Graph Neural Network

Papers

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Showing 851–900 of 3598 papers

TitleStatusHype
Characterizing and Understanding Distributed GNN Training on GPUs—0
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud—0
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks—0
Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain—0
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection—0
Joint Beamforming and Integer User Association using a GNN with Gumbel-Softmax Reparameterizations—0
CGNN: Traffic Classification with Graph Neural Network—0
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers—0
An Extendible, Graph-Neural-Network-Based Approach for Accurate Force Field Development of Large Flexible Organic Molecules—0
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations—0
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation—0
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation—0
An Exploratory Study of Stock Price Movements from Earnings Calls—0
Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network—0
An Exploitation of Heterogeneous Graph Neural Network for Extractive Long Document Summarization—0
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks—0
Advancing Molecular Machine Learning Representations with Stereoelectronics-Infused Molecular Graphs—0
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems—0
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training—0
Causal Lifting and Link Prediction—0
Causality-based Subject and Task Fingerprints using fMRI Time-series Data—0
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs—0
Federated Dynamic GNN with Secure Aggregation—0
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks—0
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry—0
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation—0
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems—0
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention—0
Accounting for Work Zone Disruptions in Traffic Flow Forecasting—0
Late Breaking Results: Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks—0
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks—0
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes—0
Catching Bid-rigging Cartels with Graph Attention Neural Networks—0
Catalysis distillation neural network for the few shot open catalyst challenge—0
Advancing Fluid-Based Thermal Management Systems Design: Leveraging Graph Neural Networks for Graph Regression and Efficient Enumeration Reduction—0
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport—0
Fast Training of Sparse Graph Neural Networks on Dense Hardware—0
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation—0
Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks—0
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022—0
Cardinality Estimation on Hyper-relational Knowledge Graphs—0
Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations—0
An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management—0
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis—0
Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches—0
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension—0
Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning—0
Can we Soft Prompt LLMs for Graph Learning Tasks?—0
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations—0
Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network—0
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