16 citations · 32 across the 9 of their papers we have counts for
4 papers · 1 filter
EagleMine: Vision-Guided Mining in Large Graphs
Wenjie Feng, Shenghua Liu, Christos Faloutsos +3
Given a graph with millions of nodes, what patterns exist in the distributions of node characteristics, and how can we detect them and separate anomalous nodes in a way similar to…
HoloScope: Topology-and-Spike Aware Fraud Detection
Shenghua Liu, Bryan Hooi, Christos Faloutsos
As online fraudsters invest more resources, including purchasing large pools of fake user accounts and dedicated IPs, fraudulent attacks become less obvious and their detection bec…
Single-Pass PCA of Large High-Dimensional Data
Wenjian Yu, Yu Gu, Jian Li +2
Principal component analysis (PCA) is a fundamental dimension reduction tool in statistics and machine learning. For large and high-dimensional data, computing the PCA (i.e., the s…
Marked Temporal Dynamics Modeling based on Recurrent Neural Network
Yongqing Wang, Shenghua Liu, Huawei Shen +1
We are now witnessing the increasing availability of event stream data, i.e., a sequence of events with each event typically being denoted by the time it occurs and its mark inform…