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08/28/2023
Can Transformer and GNN Help Each Other?
Although Transformer has achieved great success in natural language proc...
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07/19/2023
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks
Deep Learners (DLs) are the state-of-art predictive mechanism with appli...
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06/13/2023
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
This paper studies speculative reasoning task on real-world knowledge gr...
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05/29/2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
Multivariate time series (MTS) imputation is a widely studied problem in...
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05/23/2023
Continual Learning on Dynamic Graphs via Parameter Isolation
Many real-world graph learning tasks require handling dynamic graphs whe...
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05/05/2023
Neural Exploitation and Exploration of Contextual Bandits
In this paper, we study utilizing neural networks for the exploitation a...
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05/31/2022
COIN: Co-Cluster Infomax for Bipartite Graphs
Bipartite graphs are powerful data structures to model interactions betw...
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10/07/2021
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Contextual multi-armed bandits have been studied for decades and adapted...
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07/23/2018