Multi-level graph convolutional networks for cross-platform anchor link prediction
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 …
beneficial for a wide range of applications. However, existing methods either heavily rely on …
Adapting membership inference attacks to GNN for graph classification: Approaches and implications
In light of the wide application of Graph Neural Networks (GNNs), Membership Inference
Attack (MIA) against GNNs raises severe privacy concerns, where training data can be …
Attack (MIA) against GNNs raises severe privacy concerns, where training data can be …
Adaptive network alignment with unsupervised and multi-order convolutional networks
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 …
nodes are structurally and semantically similar. A well-known application of network …
Space4hgnn: a novel, modularized and reproducible platform to evaluate heterogeneous graph neural network
Heterogeneous Graph Neural Network (HGNN) has been successfully employed in various
tasks, but we cannot accurately know the importance of different design dimensions of …
tasks, but we cannot accurately know the importance of different design dimensions of …
Entity alignment for knowledge graphs with multi-order convolutional networks
Knowledge graphs (KGs) have become popular structures for unifying real-world entities by
modelling the relationships between them and their attributes. To support multilingual …
modelling the relationships between them and their attributes. To support multilingual …
An efficient and effective framework for session-based social recommendation
T Chen, RCW Wong - Proceedings of the 14th ACM international …, 2021 - dl.acm.org
In many applications of session-based recommendation, social networks are usually
available. Since users' interests are influenced by their friends, recommender systems can …
available. Since users' interests are influenced by their friends, recommender systems can …
Data analytics of social media 3.0: Privacy protection perspectives for integrating social media and Internet of Things (SM-IoT) systems
With the rapid evolution of web technologies, Web 3.0 aims to expand on current and
emerging social media platforms such as Facebook, Twitter, and TikTok, and integrate …
emerging social media platforms such as Facebook, Twitter, and TikTok, and integrate …
Adversarial-enhanced hybrid graph network for user identity linkage
In this work, we investigate the user identity linkage task across different social media
platforms based on heterogeneous multi-modal posts and social connections. This task is …
platforms based on heterogeneous multi-modal posts and social connections. This task is …
Atlrec: An attentional adversarial transfer learning network for cross-domain recommendation
Entity linking is a new technique in recommender systems to link users' interaction behaviors
in different domains, for the purpose of improving the performance of the recommendation …
in different domains, for the purpose of improving the performance of the recommendation …
Multi-level hyperedge distillation for social linking prediction on sparsely observed networks
Social linking prediction is one of the most fundamental problems in online social networks
and has attracted researchers' persistent attention. Most of the existing works predict …
and has attracted researchers' persistent attention. Most of the existing works predict …