189 citations · 584 across the 63 of their papers we have counts for
4 papers · 1 filter
Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs
Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla +2
Graph pattern matching algorithms to handle million-scale dynamic graphs are widely used in many applications such as social network analytics and suspicious transaction detections…
Scalable Graph Learning for Anti-Money Laundering: A First Look
Mark Weber, Jie Chen, Toyotaro Suzumura +6
Organized crime inflicts human suffering on a genocidal scale: the Mexican drug cartels have murdered 150,000 people since 2006, upwards of 700,000 people per year are "exported" i…
Scalable attribute-aware network embedding with locality
Weiyi Liu, Zhining Liu, Toyotaro Suzumura +1
Adding attributes for nodes to network embedding helps to improve the ability of the learned joint representation to depict features from topology and attributes simultaneously. Re…
System G Distributed Graph Database
Gabriel Tanase, Toyotaro Suzumura, Jinho Lee +5
Motivated by the need to extract knowledge and value from interconnected data, graph analytics on big data is a very active area of research in both industry and academia. To suppo…