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InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.

S. Vashishth, S. Sanyal, V. Nitin, N. Agrawal, and P. Talukdar. AAAI, page 3009-3016. AAAI Press, (2020)

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Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets.S. Vashishth, D. Newman-Griffis, R. Joshi, R. Dutt, and C. Rosé. J. Biomed. Informatics, (2021)RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.S. Vashishth, R. Joshi, S. Prayaga, C. Bhattacharyya, and P. Talukdar. EMNLP, page 1257-1266. Association for Computational Linguistics, (2018)A Re-evaluation of Knowledge Graph Completion Methods.Z. Sun, S. Vashishth, S. Sanyal, P. Talukdar, and Y. Yang. ACL, page 5516-5522. Association for Computational Linguistics, (2020)LinguaMeta: Unified Metadata for Thousands of Languages.S. Ritchie, D. van Esch, U. Okonkwo, S. Vashishth, and E. Drummond. LREC/COLING, page 10530-10538. ELRA and ICCL, (2024)Self-Influence Guided Data Reweighting for Language Model Pre-training.M. Thakkar, T. Bolukbasi, S. Ganapathy, S. Vashishth, S. Chandar, and P. Talukdar. EMNLP, page 2033-2045. Association for Computational Linguistics, (2023)Label Aware Speech Representation Learning For Language Identification.S. Vashishth, S. Bharadwaj, S. Ganapathy, A. Bapna, M. Ma, W. Han, V. Axelrod, and P. Talukdar. INTERSPEECH, page 5351-5355. ISCA, (2023)STAB: Speech Tokenizer Assessment Benchmark.S. Vashishth, H. Singh, S. Bharadwaj, S. Ganapathy, C. Asawaroengchai, K. Audhkhasi, A. Rosenberg, A. Bapna, and B. Ramabhadran. CoRR, (2024)Multimodal Modeling for Spoken Language Identification.S. Bharadwaj, M. Ma, S. Vashishth, A. Bapna, S. Ganapathy, V. Axelrod, S. Dalmia, W. Han, Y. Zhang, D. van Esch and 3 other author(s). ICASSP, page 11526-11530. IEEE, (2024)Graph-based Deep Learning in Natural Language Processing.S. Vashishth, N. Yadati, and P. Talukdar. COMAD/CODS, page 371-372. ACM, (2020)Confidence-based Graph Convolutional Networks for Semi-Supervised Learning.S. Vashishth, P. Yadav, M. Bhandari, and P. Talukdar. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1792-1801. PMLR, (2019)

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InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.

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InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.