Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"TrimNet: learning molecular representation from triplet messages for ..."

Pengyong Li et al. (2021)

> Home

Details and statistics

DOI: 10.1093/BIB/BBAA266

access: closed

type: Journal Article

metadata version: 2022-12-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/bib/LiLHZLLSY21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bib/LiLHZLLSY21
Pengyong Li, Yuquan Li, Chang-Yu Hsieh, Shengyu Zhang, Xianggen Liu, Huanxiang Liu, Sen Song, Xiaojun Yao:
TrimNet: learning molecular representation from triplet messages for biomedicine. Briefings Bioinform. 22(4) (2021)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.