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End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning


Apr 25, 2022
Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore Willke, Shahin Nazarian, Paul Bogdan


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Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach


Jan 22, 2022
Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis

* Accepted at the DLG-AAAI'21 workshop at AAAI 2021 

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DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks


Apr 16, 2021
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha


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Personalized Visualization Recommendation


Feb 12, 2021
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed

* 37 pages, 6 figures 

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Heterogeneous Graphlets


Oct 23, 2020
Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh

* arXiv admin note: substantial text overlap with arXiv:1901.10026 

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A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems


Oct 09, 2020
Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan


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Graph Neural Networks with Heterophily


Sep 28, 2020
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra


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Deep Graph Similarity Learning: A Survey


Dec 25, 2019
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu


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Temporal Network Sampling


Oct 18, 2019
Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi


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