11 citations · 12 across the 6 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…
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
Microblogging platforms such as Twitter are increasingly being used in event detection. Existing approaches mainly use machine learning models and rely on event-related keywords to…
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…
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification
Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux +2
When searching for information, a human reader first glances over a document, spots relevant sections and then focuses on a few sentences for resolving her intention. However, the…
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…