Recently, Zero-Shot Node Classification (ZNC) has been an emerging and
c...
Cross-domain recommendation (CDR) is an effective way to alleviate the d...
Sequential Recommendation is a widely studied paradigm for learning user...
Given a discriminating neural network, the problem of fairness improveme...
Discrimination has been shown in many machine learning applications, whi...
Knowledge graph (KG) embeddings have been a mainstream approach for reas...
Modeling the evolution of user preference is essential in recommender
sy...
It is well established that graph neural networks (GNNs) can be interpre...
Cross-domain sentiment classification (CDSC) aims to use the transferabl...
Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towar...
Existing representation learning methods in graph convolutional networks...
We present a novel formulation to removing reflection from polarized ima...
Knowledge graphs capture interlinked information between entities and th...
Knowledge graphs capture structured information and relations between a ...
Knowledge graphs capture structured information and relations between a ...
One problem that every presenter faces when delivering a public discours...