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Learning the heterogeneous bibliographic information network for literature-based discovery.

, , and . Knowl. Based Syst., (2017)

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Editorial: Emerging areas in literature-based discovery., and . Frontiers Res. Metrics Anal., (April 2023)Impact on Student Learning From Traditional Continuous Assessment and an E-Assessment Proposal., , and . PACIS, page 63. AISeL, (2006)Cluster links prediction for literature based discovery using latent structure and semantic features.. SIGIR, page 1275. ACM, (2014)Domain-driven KDD for mining functionally novel rules and linking disjoint medical hypotheses., and . Knowl. Based Syst., 24 (5): 609-620 (2011)Literature-Based Discovery by Learning Heterogeneous Bibliographic Information Networks.. SIGIR Forum, 51 (1): 75-76 (2017)NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso., , , , , , , and . IEEE Access, (2021)The Boundary-Spanning Mechanisms of Nobel Prize Winning Papers., and . CoRR, (2021)Anomaly Detection from Diabetes Similarity Graphs using Community Detection and Bayesian Techniques., , , , , and . IMCOM, page 32:1-32:9. ACM, (2018)Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables., , , , , , and . CYBCONF, page 101-106. IEEE, (2021)Hybrid phishing detection using joint visual and textual identity., , , , , and . Expert Syst. Appl., (June 2023)