Transfer learning aims at improving the performance of target learners on target domains by
transferring the knowledge contained in different but related source domains. In this way, the …

Social networks now connect billions of people around the world, where individuals
occupying different positions often represent different social roles and show different …

Most real systems consist of a large number of interacting, multi-typed components, while
most contemporary researches model them as homogeneous information networks, without …

In e-learning recommender systems, interpersonal information between learners is very
scarce, which makes it difficult to apply collaborative filtering (CF) techniques to achieve …

Abstract Machine learning (ML) based interatomic potentials have transformed the field of
atomistic materials modelling. However, ML potentials depend critically on the quality and …

AMiner is a novel online academic search and mining system, and it aims to provide a
systematic modeling approach to help researchers and scientists gain a deeper …

Graph neural networks (GNNs) have shown great ability in modeling graphs; however, their
performance would significantly degrade when there are noisy edges connecting nodes …

Link recommendation has attracted significant attention from both industry practitioners and
academic researchers. In industry, link recommendation has become a standard and most …

Continual Learning (CL) is the process of learning ceaselessly a sequence of tasks. Most
existing CL methods deal with independent data (eg, images and text) for which many …

Friendship is the cornerstone to build a social network. In online social networks, statistics
show that the leading reason for user to create a new friendship is due to recommendation …