Segmenting a surface mesh into pants using Morse theory. - Mustafa Hajij; Tamal K. Dey; Xin Li 003 (Graph. Model., 2016)

Unknotted Strand Routings of Triangulated Meshes. - Abdulmelik Mohammed; Mustafa Hajij (DNA, 2017)

Persistent Homology Guided Exploration of Time-Varying Graphs. - Mustafa Hajij; Bei Wang 001; Carlos Scheidegger; Paul Rosen 001 (CoRR, 2017)

Distributed Mapper. - Mustafa Hajij; Basem Assiri; Paul Rosen 001 (CoRR, 2017)

Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features. - Ashley Suh 001; Mustafa Hajij; Bei Wang 001; Carlos Scheidegger; Paul Rosen 001 (CoRR, 2017)

Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology. - Mustafa Hajij; Bei Wang 001; Carlos Scheidegger; Paul Rosen 001 (PacificVis, 2018)

The Shape of an Image - A Study of Mapper on Images. - Alejandro Robles; Mustafa Hajij; Paul Rosen 001 (VISIGRAPP (4: VISAPP), 2018)

MOG: Mapper on Graphs for Relationship Preserving Clustering. - Mustafa Hajij; Bei Wang 001; Paul Rosen 001 (CoRR, 2018)

Inferring Quality in Point Cloud-based 3D Printed Objects using Topological Data Analysis. - Paul Rosen 001; Mustafa Hajij; Junyi Tu; Tanvirul Arafin; Les A. Piegl (CoRR, 2018)

Integrating Project Spatial Coordinates into Pavement Management Prioritization. - Omar Elbagalati; Mustafa Hajij (CoRR, 2018)

Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs. - Junyi Tu; Mustafa Hajij; Paul Rosen 001 (ISVC (1), 2019)

Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions. - Yunhao Zhang; Haowen Liu; Paul Rosen 001; Mustafa Hajij (CoRR, 2019)

Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial. - Jesse S. F. Levitt; Mustafa Hajij; Radmila Sazdanovic (CoRR, 2019)

Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology. - Mustafa Hajij; Elizabeth Munch; Paul Rosen 001 (IDSTA, 2020)

Generalized K-means for Metric Space Clustering Using PageRank. - Mustafa Hajij; Eyad Said; Robert Todd (CGVC, 2020)

Persistent Homology and the Discrete Laplace Operator For Mesh Similarity. - Mustafa Hajij; Yunhao Zhang; Haowen Liu; Paul Rosen 001 (CGVC, 2020)

TopoLines: Topological Smoothing for Line Charts. - Paul Rosen 001; Ashley Suh 001; Christopher Salgado; Mustafa Hajij (EuroVis (Short Papers), 2020)

An Efficient Data Retrieval Parallel Reeb Graph Algorithm. - Mustafa Hajij; Paul Rosen 001 (Algorithms, 2020)

Graph Similarity Using PageRank and Persistent Homology. - Mustafa Hajij; Elizabeth Munch; Paul Rosen 001 (CoRR, 2020)

PageRank and The K-Means Clustering Algorithm. - Mustafa Hajij; Eyad Said; Robert Todd (CoRR, 2020)

Topology and Deep Learning. - Mustafa Hajij; Kyle Istvan (CoRR, 2020)

Cell Complex Neural Networks. - Mustafa Hajij; Kyle Istvan; Ghada Zamzmi (CoRR, 2020)

Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures. - Mustafa Hajij; Ghada Zamzmi; Matthew Dawson; Greg Muller (CoRR, 2020)

Persistent Homology Guided Force-Directed Graph Layouts. - Ashley Suh 001; Mustafa Hajij; Bei Wang 001; Carlos Scheidegger; Paul Rosen 001 (IEEE Trans. Vis. Comput. Graph., 2020)

TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images. - Mustafa Hajij; Ghada Zamzmi; Fawwaz Batayneh (EMBC, 2021)

TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images. - Mustafa Hajij; Ghada Zamzmi; Fawwaz Batayneh (CoRR, 2021)

Topological Deep Learning: Classification Neural Networks. - Mustafa Hajij; Kyle Istvan (CoRR, 2021)

Persistent Homology and Graphs Representation Learning. - Mustafa Hajij; Ghada Zamzmi; Xuanting Cai (CoRR, 2021)

Simplicial Complex Representation Learning. - Mustafa Hajij; Ghada Zamzmi; Xuanting Cai (CoRR, 2021)

Data-Centric AI Requires Rethinking Data Notion. - Mustafa Hajij; Ghada Zamzmi; Karthikeyan Natesan Ramamurthy; Aldo Guzmán-Sáenz (CoRR, 2021)

Signal Processing On Cell Complexes. - T. Mitchell Roddenberry; Michael T. Schaub; Mustafa Hajij (ICASSP, 2022)

Higher-Order Attention Networks. - Mustafa Hajij; Ghada Zamzmi; Theodore Papamarkou; Nina Miolane; Aldo Guzmán-Sáenz; Karthikeyan Natesan Ramamurthy (CoRR, 2022)

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. - Mustafa Hajij; Ghada Zamzmi; Theodore Papamarkou; AIdo Guzman-Saenz; Tolga Birdal; Michael T. Schaub (ACSSC, 2023)

TOPO-MLP : A Simplicial Network without Message Passing. - Karthikeyan Natesan Ramamurthy; Aldo Guzmán-Sáenz; Mustafa Hajij (ICASSP, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - 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; et al. (TAG-ML, 2023)

Architectures of Topological Deep Learning: A Survey on Topological Neural Networks. - Mathilde Papillon; Sophia Sanborn; Mustafa Hajij; Nina Miolane (CoRR, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - 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; et al. (CoRR, 2023)

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. - Mustafa Hajij; Ghada Zamzmi; Theodore Papamarkou; Aldo Guzmán-Sáenz; Tolga Birdal; Michael T. Schaub (CoRR, 2023)

Position: Topological Deep Learning is the New Frontier for Relational Learning. - 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; et al. (ICML, 2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

Position Paper: Challenges and Opportunities in Topological Deep Learning. - 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; et al. (CoRR, 2024)

Attending to Topological Spaces: The Cellular Transformer. - Rubén Ballester; Pablo Hernández-García; Mathilde Papillon; Claudio Battiloro; Nina Miolane; Tolga Birdal; Carles Casacuberta; Sergio Escalera; Mustafa Hajij (CoRR, 2024)

TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning. - Lev Telyatnikov; Guillermo Bernárdez; Marco Montagna; Pavlo Vasylenko; Ghada Zamzmi; Mustafa Hajij; Michael T. Schaub; Nina Miolane; Simone Scardapane; Theodore Papamarkou (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - 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; et al. (CoRR, 2024)

Roadside Sensor Systems for Vulnerable Road User Protection: A Review of Methods and Applications. - Tianya Terry Zhang; Lei Cheng; Tam Bang; Lihao Guo; Mustafa Hajij; Siyang Cao; Austin Harris 002; Mina Sartipi (IEEE Access, 2025)

CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-Refinement. - Lei Cheng; Lihao Guo; Tianya Terry Zhang; Tam Bang; Austin Harris 002; Mustafa Hajij; Mina Sartipi; Siyang Cao (CoRR, 2025)

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework. - 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 (CoRR, 2025)