Rumor spreaders are increasingly utilizing multimedia content to attract...
Gradient-based explanation is the cornerstone of explainable deep networ...
Multiple-objective optimization (MOO) aims to simultaneously optimize
mu...
Fake reviews are prevalent on review websites such as Amazon and Yelp. G...
Graph Neural Network (GNN) has achieved state-of-the-art performance in
...
Graphs are ubiquitous in many applications, such as social networks,
kno...
Learning to compare two objects are essential in applications, such as
d...
Annotations quality and quantity positively affect the performance of
se...
Online reviews provide product evaluations for customers to make decisio...
Online reviews provide product evaluations for customers to make decisio...
Probabilistic graphical models, such as Markov random fields (MRF), expl...
Probabilistic inferences distill knowledge from graphs to aid human make...
While neural networks for learning representation of multi-view data hav...
Reviews spams are prevalent in e-commerce to manipulate product ranking ...
In this paper, we study the problem of modeling users' diverse interests...
Functionality is of utmost importance to customers when they purchase
pr...
Product compatibility and their functionality are of utmost importance t...
Verification determines whether two samples belong to the same class or ...
Product reviews contain a lot of useful information about product featur...