Abstract Knowledge graph completion (KGC) tasks are aimed to reason out missing facts in
a knowledge graph. However, knowledge often evolves over time, and static knowledge …

The knowledge tracing (KT) model is an effective means to realize the personalization of
online education using artificial intelligence methods. It can accurately evaluate the learning …

Accessing and utilizing geospatial data from various sources is essential for develo**
scientific research to address complex scientific and societal challenges that require …

Abstract Nan**g Yun**, one of China's traditional silk weaving techniques, is renowned for
its unique local characteristics and exquisite craftsmanship, and was included in the …

Failure mode and effects analysis (FMEA) is a critical tool for mitigating potential failures,
particular during ramp-up phases of new products. However, its effectiveness is often limited …

Abstract Intangible Cultural Heritage (ICH) witnesses human creativity and wisdom in long
histories, composed of a variety of immaterial manifestations. The rapid development of …

Effectively integrating and correlating multisource data involved in the bridge construction
process is crucial for the improvement of the bridge informatization level. In the current …

Entity linking and predicate matching are two core tasks in the Chinese Knowledge Base
Question Answering (CKBQA). Compared with the English entity linking task, the Chinese …

Heterogeneous graph neural network (HGNN) models, capable of learning low-dimensional
dense vectors from heterogeneous graphs for downstream graph-mining tasks, have …

Heterogeneous graph refers to a type of graph data characterized by its diverse node types
and relation types, containing rich structures, features and heterogeneous information. How …