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Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning., , , , and . CoRR, (2021)Probing Negative Sampling for Contrastive Learning to Learn Graph Representations., , , , and . ECML/PKDD (2), volume 12976 of Lecture Notes in Computer Science, page 434-449. Springer, (2021)Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation., , , and . AAAI, page 15879-15880. AAAI Press, (2021)On the Optimal Bounds for Noisy Computing., , , , and . ISIT, page 1788-1793. IEEE, (2023)Generating Long Financial Report Using Conditional Variational Autoencoders With Knowledge Distillation., , , and . IEEE Trans. Artif. Intell., 5 (4): 1669-1680 (April 2024)Noisy Computing of the OR and MAX Functions., , , , and . CoRR, (2023)Noisy Computing of the Threshold Function., , , and . CoRR, (2024)Universal Graph Compression: Stochastic Block Models., , , and . ISIT, page 3038-3043. IEEE, (2021)Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data., , , , , , and . IJCAI, page 5233-5241. ijcai.org, (2023)MedGraph: malicious edge detection in temporal reciprocal graph via multi-head attention-based GNN., , , , and . Neural Comput. Appl., 35 (12): 8919-8935 (April 2023)