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02/12/2022
Modeling User Behavior with Graph Convolution for Personalized Product Search
User preference modeling is a vital yet challenging problem in personali...
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10/26/2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling
Intent classification (IC) and slot filling (SF) are critical building b...
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TinyAKE: A More Practicable and Trustable Scheme for Authenticated Key Establishment in WSNs
The characteristics of high loss rate, resource constraint, being eager ...
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Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning
Clustering uncertain data is an essential task in data mining for the in...
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Attributed Graph Learning with 2-D Graph Convolution
Graph convolutional neural networks have demonstrated promising performa...
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Attributed Graph Clustering via Adaptive Graph Convolution
Attributed graph clustering is challenging as it requires joint modellin...
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