Semih Cantürk

According to our database, Semih Cantürk authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?

Semih Cantürk, Thomas Sabourin, Frederik Wenkel, Michael Perlmutter, Guy Wolf

CoRR, March, 2026

GraIP: A Benchmarking Framework For Neural Graph Inverse Problems.

Semih Cantürk, Andrei Manolache, Arman Mielke, Chendi Qian, Antoine Siraudin, Christopher Morris, Mathias Niepert, Guy Wolf

CoRR, January, 2026

2025

Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings.

Billy Joe Franks, Moshe Eliasof, Semih Cantürk, Guy Wolf, Carola-Bibiane Schönlieb, Sophie Fellenz, Marius Kloft

Trans. Mach. Learn. Res., 2025

2024

OpenQDC: Open Quantum Data Commons.

Cristian Gabellini, Nikhil Shenoy, Stephan Thaler, Semih Cantürk, Daniel McNeela, Dominique Beaini, Michael M. Bronstein, Prudencio Tossou

CoRR, 2024

Towards a General GNN Framework for Combinatorial Optimization.

Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf

CoRR, 2024

Towards a General Recipe for Combinatorial Optimization With Multi-Filter GNNs.

Frederik Wenkel, Semih Cantürk, Stefan Horoi, Michael Perlmutter, Guy Wolf

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Graph Positional and Structural Encoder.

Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Taxonomy of Benchmarks in Graph Representation Learning.

Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek

CoRR, 2022

Taxonomy of Benchmarks in Graph Representation Learning.

Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek

Proceedings of the Learning on Graphs Conference, 2022

2021

Towards a Taxonomy of Graph Learning Datasets.

Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek

CoRR, 2021

2020

Machine-Learning Driven Drug Repurposing for COVID-19.

Semih Cantürk, Aman Singh, Patrick St-Amant, Jason Behrmann

CoRR, 2020