Web: http://arxiv.org/abs/2207.09324

Sept. 30, 2022, 1:14 a.m. | Haoran Zhang, Junhui Wang

stat.ML updates on arXiv.org arxiv.org

Signed networks are frequently observed in real life with additional sign
information associated with each edge, yet such information has been largely
ignored in existing network models. This paper develops a unified embedding
model for signed networks to disentangle the intertwined balance structure and
anomaly effect, which can greatly facilitate the downstream analysis, including
community detection, anomaly detection, and network inference. The proposed
model captures both balance structure and anomaly effect through a low rank
plus sparse matrix decomposition, which …

application arxiv communities detection embedding network

More from arxiv.org / stat.ML updates on arXiv.org

DATA ANALYST /- CONTROLE DE GESTION ET FINANCE H/F

@ METRO/MAKRO | Nanterre, France

Data Analyst

@ Netcentric | Barcelona, Spain

Power BI Developer

@ Lendi Group | Sydney, Australia

Staff Data Scientist - Merchant Services (Remote, North America)

@ Shopify | Dallas, TX, United States

Machine Learning / Data Engineer

@ WATI | Vietnam - Remote

F/H Data Manager

@ Bosch Group | Saint-Ouen-sur-Seine, France

[Fixed-term contract until July 2023] Data Quality Controller - Space Industry Luxembourg (m/f/o)

@ LuxSpace Sarl | Betzdorf, Luxembourg

Senior Data Engineer (Azure DataBricks/datalake)

@ SpectraMedix | East Windsor, NJ, United States

Abschlussarbeit im Bereich Data Analytics (w/m/div.)

@ Bosch Group | Rülzheim, Germany

Data Engineer - Marketing

@ Publicis Groupe | London, United Kingdom

Data Engineer (Consulting division)

@ Starschema | Budapest, Hungary

Team Leader, Master Data Management - Support CN, HK & TW

@ Publicis Groupe | Kuala Lumpur, Malaysia