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12/15/2021
CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Predicting drug-drug interactions (DDI) is the problem of predicting sid...
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06/08/2021
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Graph is an usual representation of relational data, which are ubiquitou...
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05/18/2021
On Convex Clustering Solutions
Convex clustering is an attractive clustering algorithm with favorable p...
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03/31/2021
DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction
Detecting predictive biomarkers from multi-omics data is important for p...
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08/25/2019
Scalable Probabilistic Matrix Factorization with Graph-Based Priors
In matrix factorization, available graph side-information may not be wel...
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11/01/2018
AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks
Extreme multi-label text classification (XMTC) is a task for tagging eac...
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04/03/2018
Learning on Hypergraphs with Sparsity
Hypergraph is a general way of representing high-order relations on a se...
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05/15/2017
Convex Coupled Matrix and Tensor Completion
We propose a set of convex low rank inducing norms for a coupled matrice...
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08/14/2016
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Machine learning methods are used to discover complex nonlinear relation...
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07/04/2015
Convex Factorization Machine for Regression
We propose the convex factorization machine (CFM), which is a convex var...
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03/20/2014