Knowledge graphs (KG) are essential background knowledge providers in ma...
Knowledge graphs (KGs) have become effective knowledge resources in dive...
As an important variant of entity alignment (EA), multi-modal entity
ali...
In this work, we share our experience on tele-knowledge pre-training for...
In knowledge graph completion (KGC), predicting triples involving emergi...
Visual question answering (VQA) often requires an understanding of visua...
Zero-shot learning (ZSL) aims to predict unseen classes whose samples ha...
Knowledge Graph (KG) and its variant of ontology have been widely used f...
Incorporating external knowledge to Visual Question Answering (VQA) has
...
External knowledge (a.k.a side information) plays a critical role in
zer...
Zero-shot learning (ZSL) which aims at predicting classes that have neve...
Zero-shot Learning (ZSL), which aims to predict for those classes that h...
Zero-shot learning (ZSL) is a popular research problem that aims at
pred...
Zero-shot learning (ZSL) is to handle the prediction of those unseen cla...
Transfer learning which aims at utilizing knowledge learned from one pro...