Table of Contents

• PrefaceAlexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf. 1-5 [doi]
• Zeroth-Order Topological Insights into Iterative Magnitude PruningAishwarya H. Balwani, Jakob Krzyston. 6-16 [doi]
• A Topological characterisation of Weisfeiler-Leman equivalence classesJacob Bamberger. 17-27 [doi]
• Sheaf Neural Networks with Connection LaplaciansFederico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò. 28-36 [doi]
• Nearest Class-Center Simplification through Intermediate LayersIdo Ben-Shaul, Shai Dekel. 37-47 [doi]
• Diversified Multiscale Graph Learning with Graph Self-CorrectionYuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong. 48-54 [doi]
• Local Distance Preserving Auto-encoders using Continuous kNN GraphsNutan Chen, Patrick van der Smagt, Botond Cseke. 55-66 [doi]
• The Manifold Scattering Transform for High-Dimensional Point Cloud DataJoyce Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter. 67-78 [doi]
• Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many MapsElizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge. 79-85 [doi]
• A Geometrical Approach to Finding Difficult Examples in LanguageDebajyoti Datta, Shashwat Kumar, Laura E. Barnes, P. Thomas Fletcher. 86-95 [doi]
• RipsNet: a general architecture for fast and robust estimation of the persistent homology of point cloudsThibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal. 96-106 [doi]
• A Simple and Universal Rotation Equivariant Point-Cloud NetworkBen Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym. 107-115 [doi]
• The Shape of Words - topological structure in natural language dataStephen Fitz. 116-123 [doi]
• Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent KernelThomas Gebhart. 124-132 [doi]
• Two-dimensional visualization of large document libraries using t-SNERita González-Márquez, Philipp Berens, Dmitry Kobak. 133-141 [doi]
• On the Surprising Behaviour of \textttnode2vecCelia Hacker, Bastian Rieck. 142-151 [doi]
• Riemannian CUR Decompositions for Robust Principal Component AnalysisKeaton Hamm, Mohamed Meskini, HanQin Cai. 152-160 [doi]
• Evaluating Disentanglement in Generative Models Without Knowledge of Latent FactorsChester Holtz, Gal Mishne, Alexander Cloninger. 161-171 [doi]
• Multiresolution Matrix Factorization and Wavelet Networks on GraphsTruong-Son Hy, Risi Kondor. 172-182 [doi]
• Random Filters for Enriching the Discriminatory power of Topological RepresentationsGrayson Jorgenson, Henry Kvinge, Tegan Emerson, Colin C. Olson. 183-188 [doi]
• APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTIONKai Yi, Jialin Chen, Yu Guang Wang 0001, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann. 189-198 [doi]
• TopTemp: Parsing Precipitate Structure from Temper TopologyLara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson. 199-205 [doi]
• Rethinking Persistent Homology For Visual RecognitionEkaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh. 206-215 [doi]
• Geodesic Properties of a Generalized Wasserstein Embedding for Time Series AanalysisShiying Li 0002, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde. 216-225 [doi]
• REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum DynamicsMario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell. 226-236 [doi]
• Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity predictionXiang Liu, Kelin Xia. 237-247 [doi]
• Deoscillated Adaptive Graph Collaborative FilteringZhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang 0001, Philip S. Yu. 248-257 [doi]
• Sparsifying the Update Step in Graph Neural NetworksJohannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis. 258-268 [doi]
• ICLR 2022 Challenge for Computational Geometry & Topology: Design and ResultsAdele 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 A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava Yazdani, Christoph von Tycowicz, Nina Miolane. 269-276 [doi]
• Robust $L_p$-Norm Linear Discriminant Analysis with Proxy Matrix OptimizationNavya Nagananda, Breton L. Minnehan, Andreas E. Savakis. 277-286 [doi]
• The PWLR graph Representation: A Persistent Weisfeiler-Lehman Scheme with Random Walks for Graph ClassificationSun-Woo Park, Yun Young Choi, Dosang Joe, U Jin Choi, Youngho Woo. 287-297 [doi]
• CubeRep: Learning Relations Between Different Views of DataRishi Sonthalia, Anna C. Gilbert, Matthew Durham. 298-303 [doi]
• Stochastic Parallelizable Eigengap Dilation for Large Graph ClusteringElise van der Pol, Ian Gemp, Yoram Bachrach. 304-311 [doi]
• Score Matching for Truncated Density Estimation on a ManifoldDaniel J. Williams, Song Liu. 312-321 [doi]
• GALE: Globally Assessing Local ExplanationsPeter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva. 322-331 [doi]
• Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural OperatorsLéon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari. 332-339 [doi]
• Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural OperatorsLéon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari. 332-340 [doi]