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02/25/2023
Privacy-Preserving Electricity Theft Detection based on Blockchain
In most electricity theft detection schemes, consumers' power consumptio...
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02/09/2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements
This work introduces a highly-scalable spectral graph densification fram...
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08/17/2021
HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering
Hypergraphs allow modeling problems with multi-way high-order relationsh...
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02/07/2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
A black-box spectral method is introduced for evaluating the adversarial...
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08/17/2020
SF-GRASS: Solver-Free Graph Spectral Sparsification
Recent spectral graph sparsification techniques have shown promising per...
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11/23/2019
GRASPEL: Graph Spectral Learning at Scale
Learning meaningful graphs from data plays important roles in many data ...
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10/06/2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
Graph embedding techniques have been increasingly deployed in a multitud...
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12/21/2018
Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization
This paper proposes a scalable algorithmic framework for spectral reduct...
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12/11/2018
