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Graph Neural Network

Papers

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Showing 851–875 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
Fair Graph Neural Network with Supervised Contrastive Regularization—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
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation—0
An Exploratory Study of Stock Price Movements from Earnings Calls—0
Factor Graph Neural Networks—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
FAIR AI Models in High Energy Physics—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
FairGAT: Fairness-aware Graph Attention Networks—0
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery—0
Fast and Deep Graph Neural Networks—0
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