Learning Organotransition Metal Reactions Using Graph Neural Networks

被引：0
|
作者：
不详
机构：
来源：
JOURNAL OF COMPUTER CHEMISTRY-JAPAN | 2022年 / 21卷 / 04期
关键词：
Graph neural network; Forward synthesis prediction; Organo transition metal reactions;
D O I：
10.2477/jccj.2023-0012
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
引用
收藏
页码：126 / 128
页数：3
相关论文
共 50 条
  • [1] Learning organo-transition metal catalyzed reactions by graph neural networks
    Sakai, Motoji
    Kaneshige, Mitsunori
    Yasuda, Koji
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2024, 45 (06) : 341 - 351
  • [2] Neural Graph Learning: Training Neural Networks Using Graphs
    Bui, Thang D.
    Ravi, Sujith
    Ramavajjala, Vivek
    WSDM'18: PROCEEDINGS OF THE ELEVENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2018, : 64 - 71
  • [3] Graph-to-Sequence Learning using Gated Graph Neural Networks
    Beck, Daniel
    Haffari, Gholamreza
    Cohn, Trevor
    PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1, 2018, : 273 - 283
  • [4] Learning Graph Dynamics using Deep Neural Networks
    Narayan, Apurva
    Roe, Peter H. O'N
    IFAC PAPERSONLINE, 2018, 51 (02): : 433 - 438
  • [5] Learning Graph Neural Networks using Exact Compression
    Bollen, Jeroen
    Steegmans, Jasper
    Van den Bussche, Jan
    Vansummeren, Stijn
    PROCEEDINGS OF THE 6TH ACM SIGMOD JOINT INTERNATIONAL WORKSHOP ON GRAPH DATA MANAGEMENT EXPERIENCES & SYSTEMS AND NETWORK DATA ANALYTICS, GRADES-NDA 2023, 2023,
  • [6] Learning Cortical Parcellations Using Graph Neural Networks
    Eschenburg, Kristian M.
    Grabowski, Thomas J.
    Haynor, David R.
    FRONTIERS IN NEUROSCIENCE, 2021, 15
  • [7] Learning graph normalization for graph neural networks
    Chen, Yihao
    Tang, Xin
    Qi, Xianbiao
    Li, Chun-Guang
    Xiao, Rong
    NEUROCOMPUTING, 2022, 493 : 613 - 625
  • [8] Learning Graph Matching with Graph Neural Networks
    Dobler, Kalvin
    Riesen, Kaspar
    ARTIFICIAL NEURAL NETWORKS IN PATTERN RECOGNITION, ANNPR 2024, 2024, 15154 : 3 - 12
  • [9] Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
    Pal, Soumyasundar
    Valkanas, Antonios
    Regol, Florence
    Coates, Mark
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 7922 - 7930
  • [10] Efficient Relative Attribute Learning Using Graph Neural Networks
    Meng, Zihang
    Adluru, Nagesh
    Kim, Hyunwoo J.
    Fung, Glenn
    Singh, Vikas
    COMPUTER VISION - ECCV 2018, PT XIV, 2018, 11218 : 575 - 590
12345