Global research landscape on coagulation-flocculation for wastewater treatment: A 2000–2023 bibliometric analysis
This review presents a comprehensive bibliometric analysis of global research trends in
coagulation-flocculation for wastewater treatment from 2000 to 2023. Leveraging the Web of …
coagulation-flocculation for wastewater treatment from 2000 to 2023. Leveraging the Web of …
Mind the label shift of augmentation-based graph ood generalization
Abstract Out-of-distribution (OOD) generalization is an important issue for Graph Neural
Networks (GNNs). Recent works employ different graph editions to generate augmented …
Networks (GNNs). Recent works employ different graph editions to generate augmented …
A comprehensive analysis of privacy-preserving solutions developed for online social networks
Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …
tools, the use of various online social networks (OSNs) has significantly increased. On the …
Hierarchical hyperedge embedding-based representation learning for group recommendation
Group recommendation aims to recommend items to a group of users. In this work, we study
group recommendation in a particular scenario, namely occasional group recommendation …
group recommendation in a particular scenario, namely occasional group recommendation …
Revisiting link prediction: A data perspective
Link prediction, a fundamental task on graphs, has proven indispensable in various
applications, eg, friend recommendation, protein analysis, and drug interaction prediction …
applications, eg, friend recommendation, protein analysis, and drug interaction prediction …
Graph foundation models
Graph Foundation Model (GFM) is a new trending research topic in the graph domain,
aiming to develop a graph model capable of generalizing across different graphs and tasks …
aiming to develop a graph model capable of generalizing across different graphs and tasks …
An adaptive bounded-confidence model of opinion dynamics on networks
U Kan, M Feng, MA Porter - Journal of Complex Networks, 2023 - ieeexplore.ieee.org
Individuals who interact with each other in social networks often exchange ideas and
influence each other's opinions. A popular approach to study the spread of opinions on …
influence each other's opinions. A popular approach to study the spread of opinions on …
“I think exactly the same”—trust in SMIs and online purchase intention: a moderation mediation analysis using PLS-SEM
Purpose The purpose of this paper is to investigate the moderating effect of homophily
between trust in social media influencers (SMIs) and credibility of the post in influencer …
between trust in social media influencers (SMIs) and credibility of the post in influencer …
FairGap: Fairness-aware recommendation via generating counterfactual graph
The emergence of Graph Neural Networks (GNNs) has greatly advanced the development
of recommendation systems. Recently, many researchers have leveraged GNN-based …
of recommendation systems. Recently, many researchers have leveraged GNN-based …
Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident
As digitalization increases, countries employ digital diplomacy, harnessing digital resources
to project their desired image. Digital diplomacy also encompasses the interactivity of digital …
to project their desired image. Digital diplomacy also encompasses the interactivity of digital …