Geometric Scattering for Graph Data Analysis

7 October 2018

Guy Wolf

Papers citing "Geometric Scattering for Graph Data Analysis"

20 / 20 papers shown

Title
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning Shay Deutsch Lionel Yelibi Alex Tong Lin Arjun Ravi Kannan 38 1 0 04 Jun 2024
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms Raffaele Marino L. Buffoni Bogdan Zavalnij GNN 37 5 0 13 Mar 2024
Multiscale Hodge Scattering Networks for Data Analysis Naoki Saito Stefan C. Schonsheck Eugene Shvarts 32 1 0 17 Nov 2023
Graph Scattering beyond Wavelet Shackles Christian Koke Gitta Kutyniok 18 4 0 26 Jan 2023
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 23 32 0 06 Nov 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 36 16 0 17 Aug 2022
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning? C. Gerloff K. Konrad Jana A. Kruppa M. Schulte-Rüther Vanessa Reindl 19 4 0 17 Aug 2022
Group-invariant max filtering Jameson Cahill Joseph W. Iverson D. Mixon Dan Packer 24 21 0 27 May 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 19 19 0 22 Jan 2022
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
Spatio-Temporal Graph Complementary Scattering Networks Angelo Feraudo Siheng Chen Ya-Qin Zhang 20 2 0 23 Oct 2021
Molecular Graph Generation via Geometric Scattering Dhananjay Bhaskar Jackson D. Grady Michal Perlmutter Smita Krishnaswamy GNN 23 6 0 12 Oct 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 38 112 0 12 Sep 2021
The Shapley Value of Classifiers in Ensemble Games Benedek Rozemberczki Rik Sarkar FAtt FedML TDI 51 33 0 06 Jan 2021
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 40 35 0 12 Dec 2020
Geometric Scattering Attention Networks Yimeng Min Frederik Wenkel Guy Wolf 18 9 0 28 Oct 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 25 11 0 27 Jan 2020
Wavelet invariants for statistically robust multi-reference alignment M. Hirn A. Little 12 8 0 24 Sep 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 21 104 0 13 Jul 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016