Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Link prediction aims to anticipate the probability of a future connection between two nodes in
a given network based on their previous interactions and the network structure. Link …

Personalized PageRank (PPR) is a traditional measure for node proximity on large graphs.
For a pair of nodes and, the PPR value equals the probability that an-discounted random …

Finding the proper depth $ d $ of a graph convolutional network (GCN) that provides strong
representation ability has drawn significant attention, yet nonetheless largely remains an …

Finding node correspondence across networks, namely multi-network alignment, is an
essential prerequisite for joint learning on multiple networks. Despite great success in …

Network embedding plays an important role in a variety of social network applications.
Existing network embedding methods, explicitly or implicitly, can be categorized into …

Camera, and associated with its objects within the field of view, localization could benefit
many computer vision fields, such as autonomous driving, robot navigation, and augmented …

Internet memes, while often humorous in nature, can be used to spread hate speech, toxic
content, and disinformation across the digital information ecosystem. As a result, detecting …

A bipartite graph contains inter-set edges between two disjoint vertex sets, and is widely
used to model real-world data, such as user-item purchase records, author-article …

The speed of spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
during the coronavirus disease 2019 (COVID-19) pandemic highlights the importance of …