We present a linear-time subspace clustering approach that combines sparse representations and bipartite graph modeling. The signals are modeled as drawn from a union of low-dimensional subspaces, and ...

In this work, we propose the construction of two-channel wavelet filter banks for analyzing functions defined on the vertices of any arbitrary finite weighted undirected graph. These graph based ...

Codes for the paper "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks", which is accepted to The IEEE International Conference on Data Mining (ICDM 2022 ...

Bollinger Bands aid investors by indicating market volatility using standard deviations around a 20-day moving average, helping identify overbought and oversold signals.

Missense variants in the O-GlcNAc transferase ( OGT) gene have recently been shown to segregate with a syndromic form of intellectual disability (OGT-ID), underscoring the importance of protein ...