91 citations · 93 across the 3 of their papers we have counts for
5 papers
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
Han Zhang, Hong Xu
Playing an essential role in data mining, machine learning has a long history of being applied to networks on multifarious tasks and has played an essential role in data mining. Ho…
Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks
Kexuan Sun, Shudan Zhong, Hong Xu
A network embedding consists of a vector representation for each node in the network. Its usefulness has been shown in many real-world application domains, such as social networks…
Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems
Hang Ma, Wolfgang Hönig, Liron Cohen +5
The authors present an overview of a hierarchical framework for coordinating task- and motion-level operations in multirobot systems. Their framework is based on the idea of using…
Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach
Therese Anders, Hong Xu, Cheng Cheng +1
Territorial control is a key aspect shaping the dynamics of civil war. Despite its importance, we lack data on territorial control that are fine-grained enough to account for subna…
Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios
Hang Ma, Sven Koenig, Nora Ayanian +7
Multi-agent path finding (MAPF) is well-studied in artificial intelligence, robotics, theoretical computer science and operations research. We discuss issues that arise when genera…