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Multi-label classification by mining label and instance correlations from heterogeneous information networks.

, , and . KDD, page 614-622. ACM, (2013)

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Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks., , , , , and . ECML/PKDD (1), volume 9851 of Lecture Notes in Computer Science, page 476-492. Springer, (2016)Multi-view Machines., , and . CoRR, (2015)Meta Path-Based Collective Classification in Heterogeneous Information Networks, , , , and . CoRR, (2013)Identifying HIV-induced subgraph patterns in brain networks with side information., , , , and . Brain Informatics, 2 (4): 211-223 (2015)t-BNE: Tensor-based Brain Network Embedding., , , , , , and . SDM, page 189-197. SIAM, (2017)DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection., , , , , , , , and . CoRR, (2018)MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles., , , and . IJCNN, page 1-8. IEEE, (2023)Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning., , , , , and . ECML/PKDD (3), volume 10536 of Lecture Notes in Computer Science, page 228-240. Springer, (2017)Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks., , , , , , and . ICBK, page 131-138. IEEE Computer Society, (2018)Reuse of Client Models in Federated Learning., , , and . SMARTCOMP, page 356-361. IEEE, (2022)