A novel sub-Markov random walk (subRW) algorithm with label prior is proposed for seeded
image segmentation, which can be interpreted as a traditional random walker on a graph …

As a natural extension of link prediction on graphs, hyperlink prediction aims for the
inference of missing hyperlinks in hypergraphs, where a hyperlink can connect more than …

Genome-wide association studies in combination with single-cell genomic atlases can
provide insights into the mechanisms of disease-causal genetic variation. However …

Background: Drug repositioning is a new research area in drug development. It aims to
discover novel therapeutic uses of existing drugs. It could accelerate the process of …

Contrastive learning is an effective unsupervised method in graph representation learning.
Recently, the data augmentation based contrastive learning method has been extended …

We propose new privacy attacks to infer attributes (eg, locations, occupations, and interests)
of online social network users. Our attacks leverage seemingly innocent user information …

Bipartite graphs are widely used to model relation-ships between two types of entities.
Community search retrieves densely connected subgraphs containing a query vertex, which …

In this paper we study approximate landmark-based methods for point-to-point distance
estimation in very large networks. These methods involve selecting a subset of nodes as …

The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …

Motivation The anatomical therapeutic chemical (ATC) classification system plays an
increasingly important role in drug repositioning and discovery. The correct identification of …