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12/05/2022
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
Graph convolutional networks (GCNs) have achieved great success in graph...
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10/03/2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
Graph Convolutional Neural Networks (GCNs) has been generally accepted t...
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04/07/2020
Repulsive Mixture Models of Exponential Family PCA for Clustering
The mixture extension of exponential family principal component analysis...
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04/06/2020
Detecting Communities in Heterogeneous Multi-Relational Networks:A Message Passing based Approach
Community is a common characteristic of networks including social networ...
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04/05/2019
Diversified Hidden Markov Models for Sequential Labeling
Labeling of sequential data is a prevalent meta-problem for a wide range...
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04/05/2019
