In the big data era, the data are generated from different sources or observed from different
views. These data are referred to as multi-view data. Unleashing the power of knowledge in …

Multi-view clustering has attracted increasing attention in multimedia, machine learning and
data mining communities. As one kind of the essential multi-view clustering algorithm, multi …

With the advance of technology, data are often with multiple modalities or coming from
multiple sources. Multi-view clustering provides a natural way for generating clusters from …

Computational drug repositioning and drug-target prediction have become essential tasks in
the early stage of drug discovery. In previous studies, these two tasks have often been …

Dealing with relational data always required significant computational resources, domain
expertise and task-dependent feature engineering to incorporate structural information into a …

In this article, we propose a semi-supervised non-negative matrix factorization (NMF) model
by means of elegantly modeling the label information. The proposed model is capable of …

The 2024 edition of the European Conference on Machine Learning and Principles and
Practice of Knowledge Discovery in Databases (ECML PKDD 2024) was held in Vilnius …

Multi-view clustering aims at integrating complementary information from multiple
heterogeneous views to improve clustering results. Existing multi-view clustering solutions …

Networks have been a general tool for representing, analyzing, and modeling relational data
arising in several domains. One of the most important aspect of network analysis is …

Multilayer network is a structure commonly used to describe and model the complex
interaction between sets of entities/nodes. A three-layer example is the author-paper-word …