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A Reciprocal Embedding Framework For Modelling Mutual Preferences.

, , , , , , и . AAAI, стр. 15385-15392. AAAI Press, (2021)

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Ramanathan Palaniappan

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Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach., , , , , , и . Artif. Intell. Rev., 57 (9): 244 (сентября 2024)A Reciprocal Embedding Framework For Modelling Mutual Preferences., , , , , , и . AAAI, стр. 15385-15392. AAAI Press, (2021)A hybrid factored frontier algorithm for dynamic Bayesian network models of biopathways., , , и . CMSB, стр. 35-44. ACM, (2011)T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation., , , и . IEEE Trans. Knowl. Data Eng., 34 (6): 2988-3001 (2022)T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract)., , , и . ICDE, стр. 3843-3844. IEEE, (2023)Computational Systems Biology Applications., , и . Encyclopedia of Bioinformatics and Computational Biology (3), Elsevier, (2019)Extracting Biological Pathway Models From NLP Event Representations., , и . BioNLP@IJCNLP, стр. 42-51. Association for Computational Linguistics, (2015)Building a reciprocal recommendation system at scale from scratch: Learnings from one of Japan's prominent dating applications., , и . RecSys, стр. 566-567. ACM, (2020)GPU code generation for ODE-based applications with phased shared-data access patterns., , , , , , , и . ACM Trans. Archit. Code Optim., 10 (4): 55:1-55:19 (2013)Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway., , и . BioNLP@ACL, стр. 119-127. Association for Computational Linguistics, (2016)