Geometric Scattering for Graph Data Analysis

7 October 2018

Guy Wolf

Papers citing "Geometric Scattering for Graph Data Analysis"

50 / 57 papers shown

Title
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data David R. Johnson Smita Krishnaswamy Michael Perlmutter DiffM 54 0 0 08 Apr 2025
ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics Siddharth Viswanath Dhananjay Bhaskar David R. Johnson Joao F. Rocha Egbert Castro Jackson D. Grady Alex T. Grigas Michael Perlmutter Corey S. O'Hern Smita Krishnaswamy 36 1 0 27 Oct 2024
Convergence of Manifold Filter-Combine Networks David R. Johnson Joyce A. Chew Siddharth Viswanath E. Brouwer Deanna Needell Smita Krishnaswamy Michael Perlmutter 3DPC 40 0 0 18 Oct 2024
Energy Propagation in Scattering Convolution Networks Can Be Arbitrarily Slow Hartmut Führ Max Getter 35 2 0 07 Jun 2024
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning Shay Deutsch Lionel Yelibi Alex Tong Lin Arjun Ravi Kannan 51 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 40 5 0 13 Mar 2024
Domain Adaptive Graph Classification Siyang Luo Ziyi Jiang Zhenghan Chen Xiaoxuan Liang OOD 17 4 0 21 Dec 2023
Multiscale Hodge Scattering Networks for Data Analysis Naoki Saito Stefan C. Schonsheck Eugene Shvarts 40 1 0 17 Nov 2023
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings Chenwei Zhang Jordan Lovrod Boyan Beronov K. D. Duc Anne Condon 11 0 0 06 Nov 2023
Visualizing DNA reaction trajectories with deep graph embedding approaches Chenwei Zhang K. D. Duc Anne Condon GNN 11 2 0 06 Nov 2023
BLIS-Net: Classifying and Analyzing Signals on Graphs Charles Xu Laney Goldman Valentina Guo Benjamin Hollander-Bodie Maedee Trank-Greene Ian M. Adelstein E. Brouwer Rex Ying Smita Krishnaswamy Michael Perlmutter 24 1 0 26 Oct 2023
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis Aarthi Venkat Joyce A. Chew Ferran Cardoso Rodriguez Christopher J. Tape Michael Perlmutter Smita Krishnaswamy 23 1 0 14 Sep 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 24 1 0 19 Aug 2023
Manifold Filter-Combine Networks Joyce A. Chew E. Brouwer Smita Krishnaswamy Deanna Needell Michael Perlmutter Michael Perlmutter GNN 28 0 0 08 Jul 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 28 5 0 28 Feb 2023
Graph Scattering beyond Wavelet Shackles Christian Koke Gitta Kutyniok 24 4 0 26 Jan 2023
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 38 63 0 16 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 25 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 39 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 27 4 0 17 Aug 2022
Learnable Filters for Geometric Scattering Modules Alexander Tong Frederik Wenkel Dhananjay Bhaskar Kincaid MacDonald Jackson D. Grady Michael Perlmutter Smita Krishnaswamy Guy Wolf 15 6 0 15 Aug 2022
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction Maosen Li Siheng Chen Zijing Zhang Lingxi Xie Qi Tian Ya Zhang 3DH 23 47 0 31 Jul 2022
The Manifold Scattering Transform for High-Dimensional Point Cloud Data Joyce A. Chew H. Steach Siddharth Viswanath Hau‐Tieng Wu M. Hirn Deanna Needell Smita Krishnaswamy Michael Perlmutter 3DPC 27 13 0 21 Jun 2022
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? Yimeng Min Frederik Wenkel Michael Perlmutter Guy Wolf GNN 16 16 0 03 Jun 2022
Group-invariant max filtering Jameson Cahill Joseph W. Iverson D. Mixon Dan Packer 30 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 27 19 0 22 Jan 2022
Video Source Characterization Using Encoding and Encapsulation Characteristics Enes Altinisik Husrev Taha Sencar Diram Tabaa 11 9 0 09 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
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets Felix L. Opolka Yin-Cong Zhi Pietro Lió Xiaowen Dong 27 19 0 25 Oct 2021
Spatio-Temporal Graph Complementary Scattering Networks Angelo Feraudo Siheng Chen Ya Zhang 20 2 0 23 Oct 2021
Molecular Graph Generation via Geometric Scattering Dhananjay Bhaskar Jackson D. Grady Michal Perlmutter Smita Krishnaswamy GNN 26 6 0 12 Oct 2021
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization Lili Wang Chenghan Huang Weicheng Ma Xinyuan Cao Soroush Vosoughi GNN DiffM 20 14 0 14 Sep 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 44 111 0 12 Sep 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 24 16 0 20 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN 22 31 0 10 Jul 2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 22 6 0 18 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 32 1 0 04 Jun 2021
Node-Variant Graph Filters in Graph Neural Networks Fernando Gama Brendon G. Anderson Somayeh Sojoudi GNN 45 6 0 31 May 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 31 22 0 04 Feb 2021
The Shapley Value of Classifiers in Ensemble Games Benedek Rozemberczki Rik Sarkar FAtt FedML TDI 59 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
Spatio-Temporal Graph Scattering Transform Chao Pan Siheng Chen Antonio Ortega AI4TS 15 27 0 06 Dec 2020
A Large-Scale Database for Graph Representation Learning Scott Freitas Yuxiao Dong Joshua Neil Duen Horng Chau PINN GNN 26 57 0 16 Nov 2020
Geometric Scattering Attention Networks Yimeng Min Frederik Wenkel Guy Wolf 21 9 0 28 Oct 2020
Data-Driven Learning of Geometric Scattering Networks Alexander Tong Frederik Wenkel Kincaid MacDonald Smita Krishnaswamy Guy Wolf GNN 17 5 0 06 Oct 2020
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings Egbert Castro Andrew Benz Alexander Tong Guy Wolf Smita Krishnaswamy 8 9 0 12 Jun 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks Yimeng Min Frederik Wenkel Guy Wolf GNN 15 109 0 18 Mar 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 28 11 0 27 Jan 2020
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms Michael Perlmutter Alexander Tong F. Gao Guy Wolf M. Hirn GNN 19 9 0 14 Nov 2019
Wavelet invariants for statistically robust multi-reference alignment M. Hirn A. Little 20 8 0 24 Sep 2019