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Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.

, , , , and . IEEE Trans. Knowl. Data Eng., 34 (10): 4854-4873 (2022)

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Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark., , , , and . IEEE Trans. Knowl. Data Eng., 34 (10): 4854-4873 (2022)Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis., , , , , and . EMNLP (Findings), page 7273-7284. Association for Computational Linguistics, (2022)SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction., , , , and . NAACL-HLT, page 2395-2409. Association for Computational Linguistics, (2022)Non-local Attention Learning on Large Heterogeneous Information Networks., , , and . IEEE BigData, page 978-987. IEEE, (2019)SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction., , , , and . CoRR, (2021)In the Name of Fairness: Assessing the Bias in Clinical Record De-identification., , , and . FAccT, page 123-137. ACM, (2023)Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks., , and . WWW, page 2078-2088. ACM / IW3C2, (2020)Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond., , , , and . CoRR, (2020)Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation., , and . CoRR, (2021)