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MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients.

, , , , , and . SIGIR, page 1697-1700. ACM, (2020)

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Mapping Scientific Disciplines and Author Expertise Based on Personal Bibliography Files, , and . Information Visualization, 2006. IV 2006. Tenth International Conference on, (2006)Major Information Visualization Authors, Papers and Topics in the ACM Library., , and . INFOVIS, IEEE Computer Society, (2004)Distributed Search Efficiency and Robustness in Service oriented Multi-agent Networks.. ICMSS, page 9-18. ACM, (2017)Strong Ties vs. Weak Ties: Studying the Clustering Paradox for Decentralized Search., and . LSDS-IR@SIGIR, volume 480 of CEUR Workshop Proceedings, CEUR-WS.org, (2009)MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients., , , , , and . SIGIR, page 1697-1700. ACM, (2020)Achieving high k-coverage and k-consistency in global alignment of multiple PPI networks., , , and . BIBM, page 303-307. IEEE Computer Society, (2016)Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams., , , and . Complex., 10 (4): 57-67 (2005)A fitness model for scholarly impact analysis.. Scientometrics, 94 (3): 981-998 (2013)Text Retrieval based on Least Information Measurement.. ICTIR, page 125-132. ACM, (2017)Scalability of findability: decentralized search and retrieval in large information networks.. University of North Carolina, Chapel Hill, USA, (2010)base-search.net (ftcarolinadr:cdr.lib.unc.edu:3j333275x).