2024 LoG Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs Frederik Wenkel, Semih Cantürk, Stefan Horoi, and 2 more authors 2024 arXiv PDF Code arXiv Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks, Moshe Eliasof, Semih Cantürk, and 4 more authors 2024 arXiv PDF arXiv OpenQDC: Open Quantum Data Commons Cristian Gabellini, Nikhil Shenoy, Stephan Thaler, and 5 more authors 2024 arXiv PDF ICML Graph Positional and Structural Encoder Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, and 4 more authors 21–27 jul 2024 arXiv PDF Code 2022 LoG Taxonomy of Benchmarks in Graph Representation Learning Renming Liu, Semih Cantürk, Frederik Wenkel, and 9 more authors In Learning on Graphs Conference, 09–12 dec 2022 arXiv PDF Code 2021 NeurIPS DCAI Towards a Taxonomy of Graph Learning Datasets Renming Liu, Semih Cantürk, Frederik Wenkel, and 10 more authors NeurIPS Data-Centric AI Workshop 2021, 09–12 dec 2021 arXiv Code