Preface

Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:1-5

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Zeroth-Order Topological Insights into Iterative Magnitude Pruning

Aishwarya Balwani, Jakob Krzyston; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:6-16

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Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators

Leon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:332-339

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A Topological characterisation of Weisfeiler-Leman equivalence classes 

Jacob Bamberger; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:17-27

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Sheaf Neural Networks with Connection Laplacians

Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael Bronstein, Petar Veličković, Pietro Liò; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:28-36

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Nearest Class-Center Simplification through Intermediate Layers

Ido Ben-Shaul, Shai Dekel; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:37-47

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Diversified Multiscale Graph Learning with Graph Self-Correction

Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xv, Yu Rong; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:48-54

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Local Distance Preserving Auto-encoders using Continuous kNN Graphs

Nutan Chen, Patrick van der Smagt, Botond Cseke; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:55-66

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The Manifold Scattering Transform for High-Dimensional Point Cloud Data

Joyce Chew, Holly Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew Hirn, Deanna Needell, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:67-78

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Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps

Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:79-85

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A Geometrical Approach to Finding Difficult Examples in Language

Debajyoti Datta, Shashwat Kumar, Laura Barnes, P. Thomas Fletcher; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:86-95

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RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:96-106

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A Simple and Universal Rotation Equivariant Point-Cloud Network

Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:107-115

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The Shape of Words - topological structure in natural language data

Stephen Fitz; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:116-123

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Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel

Thomas Gebhart; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:124-132

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Two-dimensional visualization of large document libraries using t-SNE

Rita González-Márquez, Philipp Berens, Dmitry Kobak; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:133-141

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On the Surprising Behaviour of node2vec

Celia Hacker, Bastian Rieck; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:142-151

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Riemannian CUR Decompositions for Robust Principal Component Analysis

Keaton Hamm, Mohamed Meskini, HanQin Cai; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:152-160

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Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors

Chester Holtz, Gal Mishne, Alexander Cloninger; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:161-171

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Multiresolution Matrix Factorization and Wavelet Networks on Graphs

Truong Son Hy, Risi Kondor; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:172-182

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Random Filters for Enriching the Discriminatory power of Topological Representations

Grayson Jorgenson, Henry Kvinge, Tegan Emerson, Colin Olson; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:183-188

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APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION

Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:189-198

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TopTemp: Parsing Precipitate Structure from Temper Topology

Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:199-205

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Rethinking Persistent Homology For Visual Recognition

Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:206-215

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Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Aanalysis

Shiying Li, Abu Hasnat, Mohammad Rubaiyat, Gustavo K. Rohde; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:216-225

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REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics

Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris Cantwell; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:226-236

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Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction

Xiang Liu, Kelin Xia; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:237-247

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Deoscillated Adaptive Graph Collaborative Filtering

Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:248-257

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Sparsifying the Update Step in Graph Neural Networks

Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:258-268

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ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results

Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David Klindt, Erik Hermansen, Melvin Vaupel, Benjamin Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe’er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:269-276

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Robust $L_p$-Norm Linear Discriminant Analysis with Proxy Matrix Optimization

Navya Nagananda, Breton Minnehan, Andreas Savakis; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:277-286

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The PWLR graph Representation: A Persistent Weisfeiler-Lehman Scheme with Random Walks for Graph Classification

Sun Woo Park, Yun Young Choi, Dosang Joe, U Jin Choi, Youngho Woo; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:287-297

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CubeRep: Learning Relations Between Different Views of Data

Rishi Sonthalia, Anna C. Gilbert, Matthew Durham; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:298-303

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Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering

Elise van der Pol, Ian Gemp, Yoram Bachrach; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:304-311

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Score Matching for Truncated Density Estimation on a Manifold

Daniel J. Williams, Song Liu; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:312-321

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GALE: Globally Assessing Local Explanations

Peter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Claudio Silva; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:322-331

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Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators

Leon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari1; Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:332-340

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