Mustafa Hajij

According to our database, Mustafa Hajij authored at least 40 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.

Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar 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

CoRR, 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, 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

CoRR, 2024

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

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, 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.

CoRR, 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, 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

Proceedings of the Topological, 2023

TOPO-MLP : A Simplicial Network without Message Passing.

Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij

Proceedings of the IEEE International Conference on Acoustics, 2023

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Higher-Order Attention Networks.

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy

CoRR, 2022

Signal Processing On Cell Complexes.

T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Data-Centric AI Requires Rethinking Data Notion.

Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz

CoRR, 2021

Simplicial Complex Representation Learning.

Mustafa Hajij, Ghada Zamzmi, Xuanting Cai

CoRR, 2021

Persistent Homology and Graphs Representation Learning.

Mustafa Hajij, Ghada Zamzmi, Xuanting Cai

CoRR, 2021

Topological Deep Learning: Classification Neural Networks.

Mustafa Hajij, Kyle Istvan

CoRR, 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

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Persistent Homology Guided Force-Directed Graph Layouts.

Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen

IEEE Trans. Vis. Comput. Graph., 2020

Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures.

Mustafa Hajij, Ghada Zamzmi, Matthew Dawson, Greg Muller

CoRR, 2020

Cell Complex Neural Networks.

Mustafa Hajij, Kyle Istvan, Ghada Zamzmi

CoRR, 2020

Topology and Deep Learning.

Mustafa Hajij, Kyle Istvan

CoRR, 2020

PageRank and The K-Means Clustering Algorithm.

Mustafa Hajij, Eyad Said, Robert Todd

CoRR, 2020

Graph Similarity Using PageRank and Persistent Homology.

Mustafa Hajij, Elizabeth Munch, Paul Rosen

CoRR, 2020

An Efficient Data Retrieval Parallel Reeb Graph Algorithm.

Mustafa Hajij, Paul Rosen

Algorithms, 2020

TopoLines: Topological Smoothing for Line Charts.

Paul Rosen, Ashley Suh, Christopher Salgado, Mustafa Hajij

Proceedings of the 22nd Eurographics Conference on Visualization, 2020

Persistent Homology and the Discrete Laplace Operator For Mesh Similarity.

Mustafa Hajij, Yunhao Zhang, Haowen Liu, Paul Rosen

Proceedings of the Computer Graphics & Visual Computing, 2020

Generalized K-means for Metric Space Clustering Using PageRank.

Mustafa Hajij, Eyad Said, Robert Todd

Proceedings of the Computer Graphics & Visual Computing, 2020

Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology.

Mustafa Hajij, Elizabeth Munch, Paul Rosen

Proceedings of the International Conference on Intelligent Data Science Technologies and Applications, 2020

2019

Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial.

Jesse S. F. Levitt, Mustafa Hajij, Radmila Sazdanovic

CoRR, 2019

Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions.

Yunhao Zhang, Haowen Liu, Paul Rosen, Mustafa Hajij

CoRR, 2019

Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs.

Junyi Tu, Mustafa Hajij, Paul Rosen

Proceedings of the Advances in Visual Computing, 2019

2018

Integrating Project Spatial Coordinates into Pavement Management Prioritization.

Omar Elbagalati, Mustafa Hajij

CoRR, 2018

Inferring Quality in Point Cloud-based 3D Printed Objects using Topological Data Analysis.

Paul Rosen, Mustafa Hajij, Junyi Tu, Tanvirul Arafin, Les A. Piegl

CoRR, 2018

MOG: Mapper on Graphs for Relationship Preserving Clustering.

Mustafa Hajij, Bei Wang, Paul Rosen

CoRR, 2018

The Shape of an Image - A Study of Mapper on Images.

Alejandro Robles, Mustafa Hajij, Paul Rosen

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology.

Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen

Proceedings of the IEEE Pacific Visualization Symposium, 2018

2017

Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features.

Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen

CoRR, 2017

Distributed Mapper.

Mustafa Hajij, Basem Assiri, Paul Rosen

CoRR, 2017

Persistent Homology Guided Exploration of Time-Varying Graphs.

Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen

CoRR, 2017

Unknotted Strand Routings of Triangulated Meshes.

Abdulmelik Mohammed, Mustafa Hajij

Proceedings of the DNA Computing and Molecular Programming - 23rd International Conference, 2017

2016

Segmenting a surface mesh into pants using Morse theory.

Mustafa Hajij, Tamal K. Dey, Xin Li

Graph. Model., 2016