Perlmutter, Michael

8 publications

NeurIPS 2025 HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar, Jake Kovalic, David R Johnson, Christopher Tape, Ian Adelstein, Rex Ying, Michael Perlmutter, Smita Krishnaswamy

LoG 2025 Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs Frederik Wenkel, Semih Cantürk, Stefan Horoi, Michael Perlmutter, Guy Wolf

AISTATS 2024 BLIS-Net: Classifying and Analyzing Signals on Graphs Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter

NeurIPSW 2024 Convergence of Manifold Filter-Combine Networks David R Johnson, Joyce Chew, Siddharth Viswanath, Edward De Brouwer, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter

NeurIPS 2022 Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf

LoG 2022 MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu

LoG 2022 Taxonomy of Benchmarks in Graph Representation Learning Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O’ Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek

NeurIPS 2021 MagNet: A Neural Network for Directed Graphs Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew Hirn