The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

In recent years, algorithms and neural architectures based on the Weisfeiler-Leman
algorithm, a well-known heuristic for the graph isomorphism problem, have emerged as a …

Problems involving multiple networks are prevalent in many scientific and other domains. In
particular, network alignment, or the task of identifying corresponding nodes in different …

Cross-platform account matching plays a significant role in social network analytics, and is
beneficial for a wide range of applications. However, existing methods either heavily rely on …

The typical aim of User Identity Linkage (UIL) is to detect when users from across different
social platforms are actually one and the same individual. Existing efforts to address this …

We study graph data augmentation by mixup, which has been used successfully on images.
A key operation of mixup is to compute a convex combination of a pair of inputs. This …

Due to the expensive cost of data annotation, few-shot learning has attracted increasing
research interests in recent years. Various meta-learning approaches have been proposed …

Network alignment is the problem of pairing nodes between two graphs such that the paired
nodes are structurally and semantically similar. A well-known application of network …

Knowledge graphs (KGs) have become popular structures for unifying real-world entities by
modelling the relationships between them and their attributes. To support multilingual …

Multiple networks emerge in a wealth of high-impact applications. Network alignment, which
aims to find the node correspondence across different networks, plays a fundamental role for …