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2020 – today
- 2024
[c14]Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024- [i34]Mustafa Hajij, Mathilde Papillon, Florian Frantzen
, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane:
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR abs/2402.02441 (2024) - [i33]Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - [i32]Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij:
Attending to Topological Spaces: The Cellular Transformer. CoRR abs/2405.14094 (2024) - [i31]Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Pavlo Vasylenko, Ghada Zamzmi, Mustafa Hajij, Michael T. Schaub, Nina Miolane, Simone Scardapane, Theodore Papamarkou:
TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning. CoRR abs/2406.06642 (2024) - [i30]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [c13]Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub:
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. ACSSC 2023: 799-803 - [c12]Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij:
TOPO-MLP : A Simplicial Network without Message Passing. ICASSP 2023: 1-5 - [c11]Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane:
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [i29]Mathilde Papillon, Sophia Sanborn, Mustafa Hajij, Nina Miolane:
Architectures of Topological Deep Learning: A Survey on Topological Neural Networks. CoRR abs/2304.10031 (2023) - [i28]Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.:
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - [i27]Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub:
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. CoRR abs/2312.09504 (2023) - [i26]Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij:
Topo-MLP : A Simplicial Network Without Message Passing. CoRR abs/2312.11862 (2023) - 2022
- [c10]T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij:
Signal Processing On Cell Complexes. ICASSP 2022: 8852-8856 - [e2]John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij:
Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings. Lecture Notes in Computer Science 13755, Springer 2022, ISBN 978-3-031-23222-0 [contents] - [i25]Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy:
Higher-Order Attention Networks. CoRR abs/2206.00606 (2022) - 2021
- [c9]Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh:
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images. EMBC 2021: 4115-4119 - [e1]Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur:
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12929, Springer 2021, ISBN 978-3-030-87443-8 [contents] - [i24]Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh:
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images. CoRR abs/2101.08398 (2021) - [i23]Mustafa Hajij, Kyle Istvan:
Topological Deep Learning: Classification Neural Networks. CoRR abs/2102.08354 (2021) - [i22]Mustafa Hajij, Ghada Zamzmi, Xuanting Cai:
Persistent Homology and Graphs Representation Learning. CoRR abs/2102.12926 (2021) - [i21]Mustafa Hajij, Ghada Zamzmi, Xuanting Cai:
Simplicial Complex Representation Learning. CoRR abs/2103.04046 (2021) - [i20]Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz:
Data-Centric AI Requires Rethinking Data Notion. CoRR abs/2110.02491 (2021) - [i19]T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij:
Signal Processing on Cell Complexes. CoRR abs/2110.05614 (2021) - 2020
- [j3]Mustafa Hajij, Paul Rosen:
An Efficient Data Retrieval Parallel Reeb Graph Algorithm. Algorithms 13(10): 258 (2020) - [j2]Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen:
Persistent Homology Guided Force-Directed Graph Layouts. IEEE Trans. Vis. Comput. Graph. 26(1): 697-707 (2020) - [c8]Mustafa Hajij, Elizabeth Munch, Paul Rosen:
Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology. IDSTA 2020: 110-114 - [c7]Mustafa Hajij, Eyad Said, Robert Todd:
Generalized K-means for Metric Space Clustering Using PageRank. CGVC 2020: 63-66 - [c6]Mustafa Hajij, Yunhao Zhang, Haowen Liu, Paul Rosen:
Persistent Homology and the Discrete Laplace Operator For Mesh Similarity. CGVC 2020: 67-70 - [c5]Paul Rosen, Ashley Suh, Christopher Salgado, Mustafa Hajij:
TopoLines: Topological Smoothing for Line Charts. EuroVis (Short Papers) 2020: 85-89 - [i18]Mustafa Hajij, Elizabeth Munch, Paul Rosen:
Graph Similarity Using PageRank and Persistent Homology. CoRR abs/2002.05158 (2020) - [i17]Mustafa Hajij, Eyad Said, Robert Todd:
PageRank and The K-Means Clustering Algorithm. CoRR abs/2005.04774 (2020) - [i16]Mustafa Hajij, Kyle Istvan:
Topology and Deep Learning. CoRR abs/2008.13697 (2020) - [i15]Mustafa Hajij, Kyle Istvan, Ghada Zamzmi:
Cell Complex Neural Networks. CoRR abs/2010.00743 (2020) - [i14]Mustafa Hajij, Ghada Zamzmi, Matthew Dawson, Greg Muller:
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures. CoRR abs/2012.01141 (2020)
2010 – 2019
- 2019
- [c4]Junyi Tu, Mustafa Hajij, Paul Rosen:
Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs. ISVC (1) 2019: 99-113 - [i13]Yunhao Zhang, Haowen Liu, Paul Rosen, Mustafa Hajij:
Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions. CoRR abs/1904.09639 (2019) - [i12]Ashley Suh, Christopher Salgado, Mustafa Hajij, Paul Rosen:
TopoLines: Topological Smoothing for Line Charts. CoRR abs/1906.09457 (2019) - [i11]Junyi Tu, Mustafa Hajij, Paul Rosen:
Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs. CoRR abs/1909.01513 (2019) - [i10]Jesse S. F. Levitt, Mustafa Hajij, Radmila Sazdanovic:
Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial. CoRR abs/1912.10086 (2019) - 2018
- [c3]Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen:
Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology. PacificVis 2018: 125-134 - [c2]Alejandro Robles, Mustafa Hajij, Paul Rosen:
The Shape of an Image - A Study of Mapper on Images. VISIGRAPP (4: VISAPP) 2018: 339-347 - [i9]Mustafa Hajij, Bei Wang, Paul Rosen:
MOG: Mapper on Graphs for Relationship Preserving Clustering. CoRR abs/1804.11242 (2018) - [i8]Paul Rosen, Mustafa Hajij, Junyi Tu, Tanvirul Arafin, Les A. Piegl:
Inferring Quality in Point Cloud-based 3D Printed Objects using Topological Data Analysis. CoRR abs/1807.02921 (2018) - [i7]Mustafa Hajij, Paul Rosen:
An Efficient Data Retrieval Parallel Reeb Graph Algorithm. CoRR abs/1810.08310 (2018) - [i6]Omar Elbagalati, Mustafa Hajij:
Integrating Project Spatial Coordinates into Pavement Management Prioritization. CoRR abs/1811.03437 (2018) - 2017
- [c1]Abdulmelik Mohammed, Mustafa Hajij:
Unknotted Strand Routings of Triangulated Meshes. DNA 2017: 46-63 - [i5]Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen:
Persistent Homology Guided Exploration of Time-Varying Graphs. CoRR abs/1707.06683 (2017) - [i4]Alejandro Robles, Mustafa Hajij, Paul Rosen:
The Shape of an Image: A Study of Mapper on Images. CoRR abs/1710.09008 (2017) - [i3]Mustafa Hajij, Basem Assiri, Paul Rosen:
Distributed Mapper. CoRR abs/1712.03660 (2017) - [i2]Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen:
Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features. CoRR abs/1712.05548 (2017) - 2016
- [j1]Mustafa Hajij, Tamal K. Dey, Xin Li:
Segmenting a surface mesh into pants using Morse theory. Graph. Model. 88: 12-21 (2016) - [i1]Mustafa Hajij, Tamal K. Dey, Xin Li:
Segmenting a Surface Mesh into Pants Using Morse Theory. CoRR abs/1608.06368 (2016)
Coauthor Index
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last updated on 2024-10-16 20:31 CEST by the dblp team
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