Many real-world relations can be represented by signed networks with positive and negative
links, as a result of which signed network analysis has attracted increasing attention from …

Weighted signed networks (WSNs) are networks in which edges are labeled with positive
and negative weights. WSNs can capture like/dislike, trust/distrust, and other social …

Due to the fact much of today's data can be represented as graphs, there has been a
demand for generalizing neural network models for graph data. One recent direction that …

Most of the existing GNN-based recommender system models focus on learning users'
personalized preferences from these (explicit/implicit) positive feedback to achieve …

Online social networks play a major role in modern societies, and they have shaped the way
social relationships evolve. Link prediction in social networks has many potential …

Anti-social behaviors in social media can happen both at user and community levels. While
a great deal of attention is on the individual as an 'aggressor,'the banning of entire Reddit …

Signed networks are such social networks having both positive and negative links. A lot of
theories and algorithms have been developed to model such networks (eg, balance theory) …

We introduce a principled and theoretically sound spectral method for k-way clustering in
signed graphs, where the affinity measure between nodes takes either positive or negative …

Social media greatly enables people to participate in online activities and shatters the
barrier for online users to create and share information at any place at any time. However …

Online social networks are the inseparable element of current modern societies and
significantly influence forming and consolidating social relationships. In nature, these …