Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jatin Chauhan"'
Autor:
Nikhil Nakhate, Neeraj Kumar Banoria, Pankaj Saunakiya, Nalin Kumar, Jatin Chauhan, Shibin Geroge
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 1, Pp 229-234 (2024)
Background: Gallstone disease (cholelithiasis) is a wide spectrum of conditions, ranging from asymptomatic cholelithiasis, biliary colic, empyema gallbladder, and gangrene to perforation and peritonitis. Aims and Objectives: The aim of this study
Externí odkaz:
https://doaj.org/article/4de9e85ca0c645aab2a3e2113734783a
Autor:
Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94d460af89a0f1285268271f88b056c0
https://doi.org/10.1145/3511808.3557293
https://doi.org/10.1145/3511808.3557293
Publikováno v:
Clinical Cases in Dermatology ISBN: 9783031082191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894b09c5d79b835200a5285bf21121b7
https://doi.org/10.1007/978-3-031-08220-7_34
https://doi.org/10.1007/978-3-031-08220-7_34
Publikováno v:
IJCNN
Several state-of-the-art neural graph embedding methods are based on short random walks (stochastic processes) because of their ease of computation, simplicity in capturing complex local graph properties, scalability, and interpretibility. In this wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d13bab25115a3459c4e06b8418dcb4dc
https://doi.org/10.1109/ijcnn48605.2020.9206976
https://doi.org/10.1109/ijcnn48605.2020.9206976
Publikováno v:
Indian Journal of Sexually Transmitted Diseases and AIDS. 43:192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63deed72dfb53c7ab6ed05a0d45b77e4
https://doi.org/10.4103/ijstd.ijstd_1_22
https://doi.org/10.4103/ijstd.ijstd_1_22
Publikováno v:
ACL (1)
Scopus-Elsevier
Scopus-Elsevier
The recent proliferation of knowledge graphs (KGs) coupled with incomplete or partial information, in the form of missing relations (links) between entities, has fueled a lot of research on knowledge base completion (also known as relation prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f9b4779e311edaa0b802722858d8c37