Recently, due to the rapid growth of online social networks (OSNs) such as Facebook, Twitter, Weibo, etc. the number of machine accounts/social bots that mimic human users has …
Background Assigning every human gene to specific functions, diseases and traits is a grand challenge in modern genetics. Key to addressing this challenge are computational …
J Bai, K Zhao, L Li, D Zeng, Q Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential …
W Wen, DD Zeng, J Bai, K Zhao, Z Li - IEEE Intelligent Systems, 2020 - ieeexplore.ieee.org
With different types of nodes and edges, heterogeneous networks have higher levels of structural diversity than homogeneous networks. This article proposes an unsupervised …
Die folgende Tabelle soll einen Überblick über die bereits in vorherigen Kapiteln angesprochenen Algorithmentypen und Anwendungsfelder bieten. Die eingeordneten …
ABSTRACT A startup ecosystem is a creative environment that aims to promote entrepreneurship and innovation. In this complex social network, the activities derive from …
Abstract Information technology has spread widely, and extraordinarily large amounts of data have been made accessible to users, which has made it challenging to select data that …
J Bai, L Li, D Zeng - arXiv preprint arXiv:1909.13581, 2019 - arxiv.org
Network representation learning has exploded recently. However, existing studies usually reconstruct networks as sequences or matrices, which may cause information bias or …