5 citations · 7 across the 6 of their papers we have counts for
6 papers
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
Xing Ai, Jialong Zhou, Yulin Zhu +4
Graph anomaly detection (GAD) has achieved success and has been widely applied in various domains, such as fraud detection, cybersecurity, finance security, and biochemistry. Howev…
On Manipulating Weight Predictions in Signed Weighted Networks
Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski
Adversarial social network analysis studies how graphs can be rewired or otherwise manipulated to evade social network analysis tools. While there is ample literature on manipulati…
Multiagent Model-based Credit Assignment for Continuous Control
Dongge Han, Chris Xiaoxuan Lu, Tomasz Michalak +1
Deep reinforcement learning (RL) has recently shown great promise in robotic continuous control tasks. Nevertheless, prior research in this vein center around the centralized learn…
How good is the Shapley value-based approach to the influence maximization problem?
Kamil Adamczewski, Szymon Matejczyk, Tomasz P. Michalak
The Shapley value has been recently advocated as a method to choose the seed nodes for the process of information diffusion. Intuitively, since the Shapley value evaluates the aver…
A Measure of Synergy in Coalitions
Talal Rahwan, Tomasz Michalak, Michael Wooldridge
When the performance of a team of agents exceeds our expectations or fall short of them, we often explain this by saying that there was some synergy in the team---either positive (…
Towards a Fair Allocation of Rewards in Multi-Level Marketing
Talal Rahwan, Victor Naroditskiy, Tomasz Michalak +2
An increasing number of businesses and organisations rely on existing users for finding new users or spreading a message. One of the widely used "refer-a-friend" mechanisms offers…