BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

122 related articles for article (PubMed ID: 38839794)

  • 1. A novel model for relation prediction in knowledge graphs exploiting semantic and structural feature integration.
    Yang J; Lu G; He S; Cao Q; Liu Y
    Sci Rep; 2024 Jun; 14(1):12962. PubMed ID: 38839794
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MPTN: A message-passing transformer network for drug repurposing from knowledge graph.
    Liu Y; Sang G; Liu Z; Pan Y; Cheng J; Zhang Y
    Comput Biol Med; 2024 Jan; 168():107800. PubMed ID: 38043469
    [TBL] [Abstract][Full Text] [Related]  

  • 3. FRS: A simple knowledge graph embedding model for entity prediction.
    Wang LF; Lu XY; Jiang ZJ; Zhang ZK; Li RH; Zhao M; Chen DQ
    Math Biosci Eng; 2019 Aug; 16(6):7789-7807. PubMed ID: 31698640
    [TBL] [Abstract][Full Text] [Related]  

  • 4. G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction.
    Qiu X; Wang H; Tan X; Fang Z
    Comput Biol Med; 2024 May; 173():108376. PubMed ID: 38552281
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Knowledge graph embedding by fusing multimodal content via cross-modal learning.
    Liu S; Li K; Wang Y; Zhu T; Li J; Chen Z
    Math Biosci Eng; 2023 Jun; 20(8):14180-14200. PubMed ID: 37679131
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion.
    Lan Y; He S; Liu K; Zeng X; Liu S; Zhao J
    BMC Med Inform Decis Mak; 2021 Nov; 21(Suppl 9):335. PubMed ID: 34844576
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations.
    Bakal G; Talari P; Kakani EV; Kavuluru R
    J Biomed Inform; 2018 Jun; 82():189-199. PubMed ID: 29763706
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Co-embedding of edges and nodes with deep graph convolutional neural networks.
    Zhou Y; Huo H; Hou Z; Bu L; Mao J; Wang Y; Lv X; Bu F
    Sci Rep; 2023 Oct; 13(1):16966. PubMed ID: 37807013
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Convolutional Neural Network Knowledge Graph Link Prediction Model Based on Relational Memory.
    Shi M; Zhao J; Wu D
    Comput Intell Neurosci; 2023; 2023():3909697. PubMed ID: 37323853
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs.
    Li Q; Wang D; Feng S; Niu C; Zhang Y
    IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6712-6725. PubMed ID: 34115594
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MLSFF: Multi-level structural features fusion for multi-modal knowledge graph completion.
    Zhai H; Lv X; Hou Z; Tong X; Bu F
    Math Biosci Eng; 2023 Jun; 20(8):14096-14116. PubMed ID: 37679127
    [TBL] [Abstract][Full Text] [Related]  

  • 12. edge2vec: Representation learning using edge semantics for biomedical knowledge discovery.
    Gao Z; Fu G; Ouyang C; Tsutsui S; Liu X; Yang J; Gessner C; Foote B; Wild D; Ding Y; Yu Q
    BMC Bioinformatics; 2019 Jun; 20(1):306. PubMed ID: 31238875
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An effective knowledge graph entity alignment model based on multiple information.
    Zhu B; Bao T; Han R; Cui H; Han J; Liu L; Peng T
    Neural Netw; 2023 May; 162():83-98. PubMed ID: 36893693
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Knowledge Graph Completion for the Chinese Text of Cultural Relics Based on Bidirectional Encoder Representations from Transformers with Entity-Type Information.
    Zhang M; Geng G; Zeng S; Jia H
    Entropy (Basel); 2020 Oct; 22(10):. PubMed ID: 33286937
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A knowledge graph embedding model based attention mechanism for enhanced node information integration.
    Liu Y; Wang P; Yang D; Qiu N
    PeerJ Comput Sci; 2024; 10():e1808. PubMed ID: 38435603
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain.
    Song Y; Li A; Tu H; Chen K; Li C
    Front Neurorobot; 2021; 15():674428. PubMed ID: 34045950
    [TBL] [Abstract][Full Text] [Related]  

  • 17. End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion.
    Shang C; Tang Y; Huang J; Bi J; He X; Zhou B
    Proc AAAI Conf Artif Intell; 2019 Jul; 33():3060-3067. PubMed ID: 35756147
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Knowledge graph completion method for hydraulic engineering coupled with spatial transformation and an attention mechanism.
    Liu Y; Tao T; Liu X; Tian J; Ren Z; Wang Y; Wang X; Gao Y
    Math Biosci Eng; 2024 Jan; 21(1):1394-1412. PubMed ID: 38303470
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Chinese Clinical Named Entity Recognition From Electronic Medical Records Based on Multisemantic Features by Using Robustly Optimized Bidirectional Encoder Representation From Transformers Pretraining Approach Whole Word Masking and Convolutional Neural Networks: Model Development and Validation.
    Wang W; Li X; Ren H; Gao D; Fang A
    JMIR Med Inform; 2023 May; 11():e44597. PubMed ID: 37163343
    [TBL] [Abstract][Full Text] [Related]  

  • 20. High-Order Neighbors Aware Representation Learning for Knowledge Graph Completion.
    Yin H; Zhong J; Li R; Shang J; Wang C; Li X
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38648125
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.