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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. CoRR, (2019)

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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. CoRR, (2019)MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction.S. Sanyal, J. Balachandran, N. Yadati, A. Kumar, P. Rajagopalan, S. Sanyal, and P. Talukdar. CoRR, (2018)Discretized Integrated Gradients for Explaining Language Models.S. Sanyal, and X. Ren. EMNLP (1), page 10285-10299. Association for Computational Linguistics, (2021)MaTCH : Mapping Data-Parallel Tasks on a Heterogeneous Computing Platform Using the Cross-Entropy Heuristic.S. Sanyal, and S. Das. IPDPS, IEEE Computer Society, (2005)A Re-evaluation of Knowledge Graph Completion Methods.Z. Sun, S. Vashishth, S. Sanyal, P. Talukdar, and Y. Yang. CoRR, (2019)Composition-based Multi-Relational Graph Convolutional Networks.S. Vashishth, S. Sanyal, V. Nitin, and P. Talukdar. CoRR, (2019)FastMap: A Distributed Scheme for Mapping Large Scale Applications onto Computational Grids.A. Jain, S. Sanyal, S. Das, and R. Biswas. CLADE, page 118. IEEE Computer Society, (2004)A Hierarchical and Distributed Approach for Mapping Large Applications to Heterogeneous Grids Using Genetic Algorithms.S. Sanyal, A. Jain, S. Das, and R. Biswas. CLUSTER, page 496-499. IEEE Computer Society, (2003)ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations.E. Ranjan, S. Sanyal, and P. Talukdar. CoRR, (2019)

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Disambiguation of "Sanyal, Soumya"

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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.