ICML 2023 Topological Deep Learning Challenge: Design and Results

Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; Henry Kvinge; Jan Meisner; Ghada Zamzmi; Audun Myers; Tolga Birdal; Tamal Dey; Tim Doster; Tegan Emerson; Gurusankar Gopalakrishnan; Devendra Govil; Vincent Grande; Neal Livesay; 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 Bernardez; 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; Rubén Ballester; Kalyan Nadimpalli; Alexander Nikitin; Abraham Rabinowitz; Alessandro Salatiello; Simone Scardapane; Luca Scofano; Suraj Singh; Jens Sjölund; Pavel Snopov; Indro Spinelli; Lev Telyatnikov; Lucia Testa; Maosheng Yang; Olga Zaghen; Ali Zia; Yixiao Yue; Nina Miolane

ICML 2023 Topological Deep Learning Challenge: Design and Results

Mathilde Papillon
, Mustafa Hajij
, Florian Frantzen
, Helen Jenne
, Johan Mathe
, Josef Hoppe
, Michael T. Schaub
, Theodore Papamarkou
, Aldo Guzmán-Sáenz
, Bastian Rieck
, Henry Kvinge
, Jan Meisner
, Ghada Zamzmi
, Audun Myers
, Tolga Birdal
, Tamal Dey
, Tim Doster
, Tegan Emerson
, Gurusankar Gopalakrishnan
, Devendra Govil

Vincent Grande, Neal Livesay, 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 Bernardez, 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, Rubén Ballester, Kalyan Nadimpalli, Alexander Nikitin, Abraham Rabinowitz, Alessandro Salatiello, Simone Scardapane, Luca Scofano, Suraj Singh, Jens Sjölund, Pavel Snopov, Indro Spinelli, Lev Telyatnikov, Lucia Testa, Maosheng Yang, Olga Zaghen, Ali Zia, Yixiao Yue, Nina Miolane

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Abstract

This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competition asked participants to provide open-source implementations of topological neural networks from the literature by contributing to the python packages TopoNetX (data processing) and TopoModelX (deep learning). The challenge attracted twenty-eight qualifying submissions in its two-month duration. This paper describes the design of the challenge and summarizes its main findings.

Original language	English
Title of host publication	Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
Publication status	Accepted/In press - 11 Oct 2023

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papillon23aAccepted author manuscript, 300 KBLicence: CC BY

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Papillon, M., Hajij, M., Frantzen, F., Jenne, H., Mathe, J., Hoppe, J., Schaub, M. T., Papamarkou, T., Guzmán-Sáenz, A., Rieck, B., Kvinge, H., Meisner, J., Zamzmi, G., Myers, A., Birdal, T., Dey, T., Doster, T., Emerson, T., Gopalakrishnan, G., ... Miolane, N. (Accepted/In press). ICML 2023 Topological Deep Learning Challenge: Design and Results. In Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)

@inproceedings{7cd1e2551eb6432789d4468d2bcb466b,

title = "ICML 2023 Topological Deep Learning Challenge: Design and Results",

abstract = " This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competition asked participants to provide open-source implementations of topological neural networks from the literature by contributing to the python packages TopoNetX (data processing) and TopoModelX (deep learning). The challenge attracted twenty-eight qualifying submissions in its two-month duration. This paper describes the design of the challenge and summarizes its main findings. ",

author = "Mathilde Papillon and Mustafa Hajij and Florian Frantzen and Helen Jenne and Johan Mathe and Josef Hoppe and Schaub, \{Michael T.\} and Theodore Papamarkou and Aldo Guzm{\'a}n-S{\'a}enz and Bastian Rieck and Henry Kvinge and Jan Meisner and Ghada Zamzmi and Audun Myers and Tolga Birdal and Tamal Dey and Tim Doster and Tegan Emerson and Gurusankar Gopalakrishnan and Devendra Govil and Vincent Grande and Neal Livesay and Soham Mukherjee and Samaga, \{Shreyas N.\} and Ramamurthy, \{Karthikeyan Natesan\} and Karri, \{Maneel Reddy\} and Paul Rosen and Sophia Sanborn and Michael Scholkemper and Robin Walters and Jens Agerberg and Georg B{\"o}kman and Sadrodin Barikbin and Claudio Battiloro and Gleb Bazhenov and Guillermo Bernardez and Aiden Brent and Sergio Escalera and Simone Fiorellino and Dmitrii Gavrilev and Mohammed Hassanin and Paul H{\"a}usner and Gardaa, \{Odin Hoff\} and Abdelwahed Khamis and Manuel Lecha and German Magai and Tatiana Malygina and Pavlo Melnyk and Rub{\'e}n Ballester and Kalyan Nadimpalli and Alexander Nikitin and Abraham Rabinowitz and Alessandro Salatiello and Simone Scardapane and Luca Scofano and Suraj Singh and Jens Sj{\"o}lund and Pavel Snopov and Indro Spinelli and Lev Telyatnikov and Lucia Testa and Maosheng Yang and Olga Zaghen and Ali Zia and Yixiao Yue and Nina Miolane",

year = "2023",

month = oct,

day = "11",

language = "English",

booktitle = "Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)",

}

Papillon, M, Hajij, M, Frantzen, F, Jenne, H, Mathe, J, Hoppe, J, Schaub, MT, Papamarkou, T, Guzmán-Sáenz, A, Rieck, B, Kvinge, H, Meisner, J, Zamzmi, G, Myers, A, Birdal, T, Dey, T, Doster, T, Emerson, T, Gopalakrishnan, G, Govil, D, Grande, V, Livesay, N, Mukherjee, S, Samaga, SN, Ramamurthy, KN, Karri, MR, Rosen, P, Sanborn, S, Scholkemper, M, Walters, R, Agerberg, J, Bökman, G, Barikbin, S, Battiloro, C, Bazhenov, G, Bernardez, G, Brent, A, Escalera, S, Fiorellino, S, Gavrilev, D, Hassanin, M, Häusner, P, Gardaa, OH, Khamis, A, Lecha, M, Magai, G, Malygina, T, Melnyk, P, Ballester, R, Nadimpalli, K, Nikitin, A, Rabinowitz, A, Salatiello, A, Scardapane, S, Scofano, L, Singh, S, Sjölund, J, Snopov, P, Spinelli, I, Telyatnikov, L, Testa, L, Yang, M, Zaghen, O, Zia, A, Yue, Y & Miolane, N 2023, ICML 2023 Topological Deep Learning Challenge: Design and Results. in Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML).

TY - GEN

T1 - ICML 2023 Topological Deep Learning Challenge

T2 - Design and Results

AU - Papillon, Mathilde

AU - Hajij, Mustafa

AU - Frantzen, Florian

AU - Jenne, Helen

AU - Mathe, Johan

AU - Hoppe, Josef

AU - Schaub, Michael T.

AU - Papamarkou, Theodore

AU - Guzmán-Sáenz, Aldo

AU - Rieck, Bastian

AU - Kvinge, Henry

AU - Meisner, Jan

AU - Zamzmi, Ghada

AU - Myers, Audun

AU - Birdal, Tolga

AU - Dey, Tamal

AU - Doster, Tim

AU - Emerson, Tegan

AU - Gopalakrishnan, Gurusankar

AU - Govil, Devendra

AU - Grande, Vincent

AU - Livesay, Neal

AU - Mukherjee, Soham

AU - Samaga, Shreyas N.

AU - Ramamurthy, Karthikeyan Natesan

AU - Karri, Maneel Reddy

AU - Rosen, Paul

AU - Sanborn, Sophia

AU - Scholkemper, Michael

AU - Walters, Robin

AU - Agerberg, Jens

AU - Bökman, Georg

AU - Barikbin, Sadrodin

AU - Battiloro, Claudio

AU - Bazhenov, Gleb

AU - Bernardez, Guillermo

AU - Brent, Aiden

AU - Escalera, Sergio

AU - Fiorellino, Simone

AU - Gavrilev, Dmitrii

AU - Hassanin, Mohammed

AU - Häusner, Paul

AU - Gardaa, Odin Hoff

AU - Khamis, Abdelwahed

AU - Lecha, Manuel

AU - Magai, German

AU - Malygina, Tatiana

AU - Melnyk, Pavlo

AU - Ballester, Rubén

AU - Nadimpalli, Kalyan

AU - Nikitin, Alexander

AU - Rabinowitz, Abraham

AU - Salatiello, Alessandro

AU - Scardapane, Simone

AU - Scofano, Luca

AU - Singh, Suraj

AU - Sjölund, Jens

AU - Snopov, Pavel

AU - Spinelli, Indro

AU - Telyatnikov, Lev

AU - Testa, Lucia

AU - Yang, Maosheng

AU - Zaghen, Olga

AU - Zia, Ali

AU - Yue, Yixiao

AU - Miolane, Nina

PY - 2023/10/11

Y1 - 2023/10/11

N2 - This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competition asked participants to provide open-source implementations of topological neural networks from the literature by contributing to the python packages TopoNetX (data processing) and TopoModelX (deep learning). The challenge attracted twenty-eight qualifying submissions in its two-month duration. This paper describes the design of the challenge and summarizes its main findings.

AB - This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competition asked participants to provide open-source implementations of topological neural networks from the literature by contributing to the python packages TopoNetX (data processing) and TopoModelX (deep learning). The challenge attracted twenty-eight qualifying submissions in its two-month duration. This paper describes the design of the challenge and summarizes its main findings.

M3 - Conference contribution

BT - Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)

ER -

ICML 2023 Topological Deep Learning Challenge: Design and Results

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