10 citations · 29 across the 22 of their papers we have counts for
4 papers · 1 filter
Efficient Global String Kernel with Random Features: Beyond Counting Substructures
Lingfei Wu, Ian En-Hsu Yen, Siyu Huo +5
Analysis of large-scale sequential data has been one of the most crucial tasks in areas such as bioinformatics, text, and audio mining. Existing string kernels, however, either (i)…
SENSE: Semantically Enhanced Node Sequence Embedding
Swati Rallapalli, Liang Ma, Mudhakar Srivatsa +4
Effectively capturing graph node sequences in the form of vector embeddings is critical to many applications. We achieve this by (i) first learning vector embeddings of single grap…
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design
Ziyao Zhang, Liang Ma, Konstantinos Poularakis +3
In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance centralised control, scalability, and…
Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures
Konstantinos Poularakis, Qiaofeng Qin, Liang Ma +3
Since the early development of Software-Defined Network (SDN) technology, researchers have been concerned with the idea of physical distribution of the control plane to address sca…