Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

Authors: Bechler-Speicher, Maya, Finkelshtein, Ben, Frasca, Fabrizio, Müller, Luis, Tönshoff, Jan, Siraudin, Antoine, Zaverkin, Viktor, Bronstein, Michael M., Niepert, Mathias, Perozzi, Bryan, Galkin, Mikhail, Morris, Christopher

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing

Access URL: http://arxiv.org/abs/2502.14546

Cometh: A continuous-time discrete-state graph diffusion model

Authors: Siraudin, Antoine, Malliaros, Fragkiskos D., Morris, Christopher

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2406.06449

DiGress: Discrete Denoising diffusion for graph generation

Authors: Vignac, Clement, Krawczuk, Igor, Siraudin, Antoine, Wang, Bohan, Cevher, Volkan, Frossard, Pascal

Source: International Conference on Learning Representations (ICLR 2023)

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2209.14734