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Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.

, , , and . CoRR, (2022)

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Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling., , , and . ICDM (Workshops), page 1453-1462. IEEE, (2023)Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction., , , , , and . WWW (Companion Volume), page 979-982. ACM, (2024)Mining technology trends in scientific publications: a graph propagated neural topic modeling approach., , , , , and . Knowl. Inf. Syst., 66 (5): 3085-3114 (May 2024)RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs., , , , , , and . CoRR, (2022)Two-Stage Pansharpening Based on Multi-Level Detail Injection Network., , and . IEEE Access, (2020)Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling., , , and . CoRR, (2022)Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction., , , , , , , and . CoRR, (2023)Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 32 (2): 736-747 (2021)Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction., , , , , , , and . CIKM, page 572-581. ACM, (2022)Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference., , , , , and . SDM, page 936-944. SIAM, (2023)