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02/01/2023
Simple yet Effective Gradient-Free Graph Convolutional Networks
Linearized Graph Neural Networks (GNNs) have attracted great attention i...
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10/24/2022
Multi-Agent Path Finding via Tree LSTM
In recent years, Multi-Agent Path Finding (MAPF) has attracted attention...
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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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09/27/2019
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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09/26/2019
Attributed Graph Learning with 2-D Graph Convolution
Graph convolutional neural networks have demonstrated promising performa...
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06/04/2019
Attributed Graph Clustering via Adaptive Graph Convolution
Attributed graph clustering is challenging as it requires joint modellin...
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01/28/2019
Generalized Label Propagation Methods for Semi-Supervised Learning
The key challenge in semi-supervised learning is how to effectively leve...
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07/08/2018
Large Margin Few-Shot Learning
The key issue of few-shot learning is learning to generalize. In this pa...
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01/22/2018