Characterizing Graph Datasets for Node Classification: Beyond Homophily-Heterophily Dichotomy. - Oleg Platonov; Denis Kuznedelev; Artem Babenko; Liudmila Prokhorenkova (CoRR, 2022)

A critical look at the evaluation of GNNs under heterophily: Are we really making progress? - Oleg Platonov; Denis Kuznedelev; Michael Diskin; Artem Babenko; Liudmila Prokhorenkova (ICLR, 2023)

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond. - Oleg Platonov; Denis Kuznedelev; Artem Babenko; Liudmila Prokhorenkova (NeurIPS, 2023)

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