Mustafa Hajij

60 papers A* 1B 2Misc 3Journal 43Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-Refinement.
CoRR
Lei Cheng, Lihao Guo, Tianya Terry Zhang, Tam Bang, Austin Harris, Mustafa Hajij, Mina Sartipi, Siyang Cao
2025 J jnl
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework.
CoRR
Mustafa Hajij, Lennart Bastian, Sarah Osentoski, Hardik Kabaria, John L. Davenport, Sheik Dawood, Balaji Cherukuri, Joseph G. Kocheemoolayil, Nastaran Shahmansouri, Adrian Lew, Theodore Papamarkou, Tolga Birdal
2025 J jnl
Roadside Sensor Systems for Vulnerable Road User Protection: A Review of Methods and Applications.
IEEE Access
Tianya Terry Zhang, Lei Cheng, Tam Bang, Lihao Guo, Mustafa Hajij, Siyang Cao, Austin Harris, Mina Sartipi
2025 J jnl
TopoBench: A Framework for Benchmarking Topological Deep Learning.
J. Data-centric Mach. Learn. Res.
Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2025 J jnl
Topotein: Topological Deep Learning for Protein Representation Learning.
CoRR
Zhiyu Wang, Arian R. Jamasb, Mustafa Hajij, Alex Morehead, Luke Braithwaite, Pietro Liò
2024 J jnl
Attending to Topological Spaces: The Cellular Transformer.
CoRR
Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
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 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
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
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
2024 J jnl
Position Paper: Challenges and Opportunities in Topological Deep Learning.
CoRR
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
2024 A* conf
Position: Topological Deep Learning is the New Frontier for Relational Learning.
ICML
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
2024 J jnl
TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning.
CoRR
Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Pavlo Vasylenko, Ghada Zamzmi, Mustafa Hajij, Michael T. Schaub, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2024 J jnl
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
CoRR
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
2024 J jnl
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
J. Mach. Learn. Res.
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
2023 J jnl
Architectures of Topological Deep Learning: A Survey on Topological Neural Networks.
CoRR
Mathilde Papillon, Sophia Sanborn, Mustafa Hajij, Nina Miolane
2023 Misc conf
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.
ACSSC
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub
2023 J jnl
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.
CoRR
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub
2023 J jnl
ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR
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.
2023 — conf
ICML 2023 Topological Deep Learning Challenge: Design and Results.
TAG-ML
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
2023 Misc conf
TOPO-MLP : A Simplicial Network without Message Passing.
ICASSP
Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij
2023 J jnl
Topo-MLP : A Simplicial Network Without Message Passing.
CoRR
Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij
2022 — ed.
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
EPIMI/ML-CDS@MICCAI
John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij
2022 J jnl
Higher-Order Attention Networks.
CoRR
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy
2022 Misc conf
Signal Processing On Cell Complexes.
ICASSP
T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij
2021 J jnl
Data-Centric AI Requires Rethinking Data Notion.
CoRR
Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz
2021 — ed.
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
iMIMIC/TDA4MedicalData@MICCAI
Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur
2021 J jnl
Persistent Homology and Graphs Representation Learning.
CoRR
Mustafa Hajij, Ghada Zamzmi, Xuanting Cai
2021 J jnl
Signal Processing on Cell Complexes.
CoRR
T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij
2021 J jnl
Simplicial Complex Representation Learning.
CoRR
Mustafa Hajij, Ghada Zamzmi, Xuanting Cai
2021 — conf
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images.
EMBC
Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh
2021 J jnl
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images.
CoRR
Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh
2021 J jnl
Topological Deep Learning: Classification Neural Networks.
CoRR
Mustafa Hajij, Kyle Istvan
2020 J jnl
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures.
CoRR
Mustafa Hajij, Ghada Zamzmi, Matthew Dawson, Greg Muller
2020 J jnl
An Efficient Data Retrieval Parallel Reeb Graph Algorithm.
Algorithms
Mustafa Hajij, Paul Rosen
2020 J jnl
Cell Complex Neural Networks.
CoRR
Mustafa Hajij, Kyle Istvan, Ghada Zamzmi
2020 — conf
Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology.
IDSTA
Mustafa Hajij, Elizabeth Munch, Paul Rosen
2020 — conf
Generalized K-means for Metric Space Clustering Using PageRank.
CGVC
Mustafa Hajij, Eyad Said, Robert Todd
2020 J jnl
Graph Similarity Using PageRank and Persistent Homology.
CoRR
Mustafa Hajij, Elizabeth Munch, Paul Rosen
2020 J jnl
PageRank and The K-Means Clustering Algorithm.
CoRR
Mustafa Hajij, Eyad Said, Robert Todd
2020 J jnl
Persistent Homology Guided Force-Directed Graph Layouts.
IEEE Trans. Vis. Comput. Graph.
Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
2020 — conf
Persistent Homology and the Discrete Laplace Operator For Mesh Similarity.
CGVC
Mustafa Hajij, Yunhao Zhang, Haowen Liu, Paul Rosen
2020 — conf
TopoLines: Topological Smoothing for Line Charts.
EuroVis (Short Papers)
Paul Rosen, Ashley Suh, Christopher Salgado, Mustafa Hajij
2020 J jnl
Topology and Deep Learning.
CoRR
Mustafa Hajij, Kyle Istvan
2019 J jnl
Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial.
CoRR
Jesse S. F. Levitt, Mustafa Hajij, Radmila Sazdanovic
2019 J jnl
Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions.
CoRR
Yunhao Zhang, Haowen Liu, Paul Rosen, Mustafa Hajij
2019 — conf
Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs.
ISVC (1)
Junyi Tu, Mustafa Hajij, Paul Rosen
2019 J jnl
Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs.
CoRR
Junyi Tu, Mustafa Hajij, Paul Rosen
2019 J jnl
TopoLines: Topological Smoothing for Line Charts.
CoRR
Ashley Suh, Christopher Salgado, Mustafa Hajij, Paul Rosen
2018 J jnl
An Efficient Data Retrieval Parallel Reeb Graph Algorithm.
CoRR
Mustafa Hajij, Paul Rosen
2018 J jnl
Inferring Quality in Point Cloud-based 3D Printed Objects using Topological Data Analysis.
CoRR
Paul Rosen, Mustafa Hajij, Junyi Tu, Tanvirul Arafin, Les A. Piegl
2018 J jnl
Integrating Project Spatial Coordinates into Pavement Management Prioritization.
CoRR
Omar Elbagalati, Mustafa Hajij
2018 J jnl
MOG: Mapper on Graphs for Relationship Preserving Clustering.
CoRR
Mustafa Hajij, Bei Wang, Paul Rosen
2018 — conf
The Shape of an Image - A Study of Mapper on Images.
VISIGRAPP (4: VISAPP)
Alejandro Robles, Mustafa Hajij, Paul Rosen
2018 B conf
Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology.
PacificVis
Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
2017 J jnl
Distributed Mapper.
CoRR
Mustafa Hajij, Basem Assiri, Paul Rosen
2017 J jnl
Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features.
CoRR
Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
2017 J jnl
Persistent Homology Guided Exploration of Time-Varying Graphs.
CoRR
Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
2017 J jnl
The Shape of an Image: A Study of Mapper on Images.
CoRR
Alejandro Robles, Mustafa Hajij, Paul Rosen
2017 B conf
Unknotted Strand Routings of Triangulated Meshes.
DNA
Abdulmelik Mohammed, Mustafa Hajij
2016 J jnl
Segmenting a Surface Mesh into Pants Using Morse Theory.
CoRR
Mustafa Hajij, Tamal K. Dey, Xin Li
2016 J jnl
Segmenting a surface mesh into pants using Morse theory.
Graph. Model.
Mustafa Hajij, Tamal K. Dey, Xin Li