research
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09/19/2023
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions
Many real-world datasets are represented as tensors, i.e., multi-dimensi...
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02/09/2023
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors
Many real-world data are naturally represented as a sparse reorderable m...
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10/28/2021
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs
A variety of tasks on dynamic graphs, including anomaly detection, commu...
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06/11/2021
Learning to Pool in Graph Neural Networks for Extrapolation
Graph neural networks (GNNs) are one of the most popular approaches to u...
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02/23/2021
