Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective. - Gleb Bazhenov; Sergei Ivanov 002; Maxim Panov; Alexey Zaytsev 002; Evgeny Burnaev (CoRR, 2022)

Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. - Gleb Bazhenov; Denis Kuznedelev; Andrey Malinin; Artem Babenko; Liudmila Prokhorenkova (NeurIPS, 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; et al. (TAG-ML, 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; et al. (CoRR, 2023)

TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features. - Gleb Bazhenov; Oleg Platonov; Liudmila Prokhorenkova (CoRR, 2024)