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08/18/2023
Distribution shift mitigation at test time with performance guarantees
Due to inappropriate sample selection and limited training data, a distr...
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04/29/2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
In node classification using graph neural networks (GNNs), a typical mod...
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04/07/2023
Distributional Signals for Node Classification in Graph Neural Networks
In graph neural networks (GNNs), both node features and labels are examp...
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02/28/2023
Policy Dispersion in Non-Markovian Environment
Markov Decision Process (MDP) presents a mathematical framework to formu...
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10/08/2022
Learning the Network of Graphs for Graph Neural Networks
Graph neural networks (GNNs) have achieved great success in many scenari...
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05/20/2022
Sigmoidally Preconditioned Off-policy Learning:a new exploration method for reinforcement learning
One of the major difficulties of reinforcement learning is learning from...
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06/25/2019
An Unsupervised Bayesian Neural Network for Truth Discovery
The problem of estimating event truths from conflicting agent opinions i...
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02/25/2019
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows
In view of the huge success of convolution neural networks (CNN) for ima...
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06/08/2018
