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Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets.

, , , , and . IEEE Big Data, page 1691-1700. IEEE, (2022)

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Mining of Real-world Hypergraphs: Patterns, Tools, and Generators., , and . CIKM, page 5144-5147. ACM, (2022)Accurate Node Feature Estimation with Structured Variational Graph Autoencoder., , , and . KDD, page 2336-2346. ACM, (2022)Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets., , , , and . IEEE Big Data, page 1691-1700. IEEE, (2022)Reciprocity in directed hypergraphs: measures, findings, and generators., , , and . Data Min. Knowl. Discov., 37 (6): 2330-2388 (November 2023)Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets., , , , and . Int. J. Approx. Reason., (2018)Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting., and . SDM, page 531-539. SIAM, (2021)Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities., and . IEEE Big Data, page 1047-1051. IEEE, (2023)Gaussian Soft Decision Trees for Interpretable Feature-Based Classification., and . PAKDD (2), volume 12713 of Lecture Notes in Computer Science, page 143-155. Springer, (2021)EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees., and . ICDM, page 1438-1443. IEEE, (2019)Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective., , , , , and . CoRR, (2024)