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08/25/2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
Despite the recent success of Graph Neural Networks (GNNs), it remains c...
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05/19/2023
Domain Generalization Deep Graph Transformation
Graph transformation that predicts graph transition from one mode to ano...
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02/04/2023
Knowledge-enhanced Neural Machine Reasoning: A Review
Knowledge-enhanced neural machine reasoning has garnered significant att...
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12/26/2022
Saliency-Augmented Memory Completion for Continual Learning
Continual Learning is considered a key step toward next-generation Artif...
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10/03/2022
Deep Spatial Domain Generalization
Spatial autocorrelation and spatial heterogeneity widely exist in spatia...
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07/03/2022
Saliency-Regularized Deep Multi-Task Learning
Multitask learning is a framework that enforces multiple learning tasks ...
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06/27/2022
RES: A Robust Framework for Guiding Visual Explanation
Despite the fast progress of explanation techniques in modern Deep Neura...
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05/31/2022
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization
Despite the recent success of Graph Neural Networks (GNNs), it remains c...
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05/21/2022
Temporal Domain Generalization with Drift-Aware Dynamic Neural Network
Temporal domain generalization is a promising yet extremely challenging ...
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02/22/2021