11 citations · 15 across the 5 of their papers we have counts for
6 papers
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
Artem Lutov, Dingqi Yang, Philippe Cudré-Mauroux
Graph embedding has become a key component of many data mining and analysis systems. Current graph embedding approaches either sample a large number of node pairs from a graph to l…
DAOC: Stable Clustering of Large Networks
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
Clustering is a crucial component of many data mining systems involving the analysis and exploration of various data. Data diversity calls for clustering algorithms to be accurate…
StaTIX - Statistical Type Inference on Linked Data
Artem Lutov, Soheil Roshankish, Mourad Khayati +1
Large knowledge bases typically contain data adhering to various schemas with incomplete and/or noisy type information. This seriously complicates further integration and post-proc…
Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
Performance of clustering algorithms is evaluated with the help of accuracy metrics. There is a great diversity of clustering algorithms, which are key components of many data anal…
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
There is a great diversity of clustering and community detection algorithms, which are key components of many data analysis and exploration systems. To the best of our knowledge, h…
ScienceWISE: Topic Modeling over Scientific Literature Networks
Andrea Martini, Artem Lutov, Valerio Gemmetto +11
We provide an up-to-date view on the knowledge management system ScienceWISE (SW) and address issues related to the automatic assignment of articles to research topics. So far, SW…