Semih Cantürk

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Graph Representation

Combinatorial Optimization

Application Of Machine Learning Methods

Top Venues

Publications

Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf
Towards a General GNN Framework for Combinatorial Optimization. CoRR (2024)
Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
Graph Positional and Structural Encoder. CoRR (2023)
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
Taxonomy of Benchmarks in Graph Representation Learning. CoRR (2022)
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
Taxonomy of Benchmarks in Graph Representation Learning. LoG (2022)
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampásek
Towards a Taxonomy of Graph Learning Datasets. CoRR (2021)
Semih Cantürk, Aman Singh, Patrick St-Amant, Jason Behrmann
Machine-Learning Driven Drug Repurposing for COVID-19. CoRR (2020)