As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …

Machine learning (ML), especially deep neural networks, has achieved great success, but
many of them often rely on a number of labeled samples for supervision. As sufficient …

Knowledge graphs (KGs) store highly heterogeneous information about the world in the
structure of a graph, and are useful for tasks such as question answering and reasoning …

Nowadays, multi-hop question answer (QA) problem is challenging and not well solved in
the QA community. The dominant bottleneck of the multi-hop QA problem is the need for a …

Knowledge bases (KBs), which store high-quality information, are crucial for many
applications, such as enhancing search results and serving as external sources for data …

Spatial crowdsourcing assigns location‐related tasks to a group of workers (people
equipped with smart devices and willing to complete the tasks), who complete the tasks …

Knowledge graphs (KGs) store highly heterogeneous information about the world in the
structure of a graph, and are useful for tasks such as question answering and reasoning …