George Karypis is affiliated with the University of Minnesota in the United States. Their research focuses primarily on computer science, with extensive work in several subfields including artificial intelligence, computer vision and pattern recognition, information systems, molecular biology, and computational theory and mathematics.
The scientist has contributed significantly to topics such as advanced graph neural networks, topic modeling, natural language processing techniques, graph theory and algorithms, recommender systems and techniques, complex network analysis techniques, and computational drug discovery methods.
Their recent publications demonstrate a broad range of interests and expertise. Notable papers include:
Karypis frequently collaborates with other researchers. Their most common co-authors are:
Their work has been published regularly in several venues, including:
Award recognition includes the IEEE Fellow in 2018 for contributions to graph partitioning and data mining, as well as being named an ACM Senior Member in 2014.
Badrul Sarwar;George Karypis;Joseph Konstan;John Riedl
George Karypis;Vipin Kumar
Michael Steinbach;George Karypis;Vipin Kumar
G. Karypis;Eui-Hong Han;V. Kumar
Mukund Deshpande;George Karypis
Badrul Sarwar;George Karypis;Joseph Konstan;John Riedl
Vipin Kumar;Ananth Grama;Anshul Gupta;George Karypis
George Karypis;Vipin Kumar
Badrul Sarwar;George Karypis;Joseph Konstan;John T. Riedl
G. Karypis;R. Aggarwal;V. Kumar;S. Shekhar
George Karypis;Vipin Kumar
M. Kuramochi;G. Karypis
George Karypis;Rajat Aggarwal;Vipin Kumar;Shashi Shekhar
George Karypis
Ying Zhao;George Karypis
Christian Desrosiers;George Karypis
George Karypis;Vipin Kumar
Ying Zhao;George Karypis;Usama Fayyad
Ying Zhao;George Karypis
Ying Zhao;George Karypis
Minjie Wang;Da Zheng;Zihao Ye;Quan Gan
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