Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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GOALI: Frameworks: At-Scale Heterogeneous Data based Adaptive Development Platform for Machine-Learning Models for Material and Chemical Discovery
Roitberg, A. E., Tadmor, E. B., Karypis, G. & Martiniani, S.
10/1/23 → 9/30/28
Project: Research project
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Collaborative Research: Reliable Materials Simulation based on the Knowledgebase of Interatomic Models (KIM)
Tadmor, E. B., Elliott, R. S. & Karypis, G.
THE NATIONAL SCIENCE FOUNDATION
10/1/18 → 3/31/25
Project: Research project
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Collaborative Research: Reliable Materials Simulation based on the Knowledgebase of Interatomic Models (KIM)
Tadmor, E. B., Karypis, G. & Elliott, R. S.
10/1/18 → 9/30/23
Project: Research project
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High-Performance Static and Streaming Tensor Factorization Algorithms
US DEPT OF DEFENSE ARMY, DEFENSE NUCLEAR AGENCY (USDOD)
8/10/18 → 8/9/22
Project: Research project
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Automatic Table Union Search with Tabular Representation Learning
Hu, X., Wang, S., Qin, X., Lei, C., Shen, Z., Faloutsos, C., Katsifodimos, A., Karypis, G., Wen, L. & Yu, P. S., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 3786-3800 15 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
Pei, H., Zhao, J., Lausen, L., Zha, S. & Karypis, G., Jun 27 2023, AAAI-23 Technical Tracks 4. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 5230-5238 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Differentially Private Optimization on Large Model at Small Cost
Bu, Z., Wang, Y. X., Zha, S. & Karypis, G., 2023, In: Proceedings of Machine Learning Research. 202, p. 3192-3218 27 p.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations -
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
Zhou, H., Zheng, D., Song, X., Karypis, G. & Prasanna, V., Nov 12 2023, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023. Association for Computing Machinery, Inc, 39. (Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
DSP: Efficient GNN Training with Multiple GPUs
Cai, Z., Zhou, Q., Yan, X., Zheng, D., Song, X., Zheng, C., Cheng, J. & Karypis, G., Feb 25 2023, PPoPP 2023 - Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery, p. 392-404 13 p. (Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations
Datasets
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Regions of High Confidence in Chinese Hamster and CHO-K1 Genome Assemblies
Bandyopadhyay, A., Hu, W., Jacob, N. M., Johnson, K., Karypis, G., Le, H., Mudge, J., Onsongo, I. G., Ramaraj, T., Sharma, M., Silverstein, K., Vishwanathan, N. & Fu, H., Data Repository for the University of Minnesota, 2016
DOI: 10.13020/D6Z304, http://dx.doi.org/10.13020/D6Z304
Dataset
Press/Media
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UMN researchers’ graph could find COVID-19 treatments
George Karypis & Vasileios Ioannidis
6/1/20
1 item of Media coverage
Press/Media: Research