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09/09/2023
Training of Spiking Neural Network joint Curriculum Learning Strategy
Starting with small and simple concepts, and gradually introducing compl...
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02/24/2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Graph neural networks (GNNs) have achieved great success in node classif...
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02/12/2023
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation
In this paper, we study the problem of legal domain adaptation problem f...
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06/23/2021
Recurrent Coupled Topic Modeling over Sequential Documents
The abundant sequential documents such as online archival, social media ...
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06/15/2021
Zero-shot Node Classification with Decomposed Graph Prototype Network
Node classification is a central task in graph data analysis. Scarce or ...
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03/23/2021
Expanding Semantic Knowledge for Zero-shot Graph Embedding
Zero-shot graph embedding is a major challenge for supervised graph lear...
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03/13/2020
