Neural Graph Databases. - Maciej Besta; Patrick Iff; Florian Scheidl; Kazuki Osawa; Nikoli Dryden; Michal Podstawski; Tiancheng Chen; Torsten Hoefler (LoG, 2022)

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. - Maciej Besta; Pawel Renc; Robert Gerstenberger; Paolo Sylos Labini; Alexandros Nikolaos Ziogas; Tiancheng Chen; Lukas Gianinazzi; Florian Scheidl; Kalman Szenes; Armon Carigiet; Patrick Iff; Grzegorz Kwasniewski; et al. (SC, 2023)

Arrow Matrix Decompositions. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Piotr Luczynski; Saleh Ashkboosh; Langwen Huang; Florian Scheidl; Chio Ge; Armon Carigiet; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (Zenodo, 2023)

GNN Scaling 0.1 Software Artifact. - Maciej Besta; Pawel Renc; Robert Gerstenberger; Paolo Sylos Labini; Alexandros Nikolaos Ziogas; Tiancheng Chen; Lukas Gianinazzi; Florian Scheidl; Kalman Szenes; Armon Carigiet; Patrick Iff; Grzegorz Kwasniewski; et al. (Zenodo, 2023)

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Langwen Huang; Piotr Luczynski; Saleh Ashkboosh; Florian Scheidl; Armon Carigiet; Chio Ge; Nabil Abubaker; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (PPoPP, 2024)

Demystifying Higher-Order Graph Neural Networks. - Maciej Besta; Florian Scheidl; Lukas Gianinazzi; Shachar Klaiman; Jürgen Müller; Torsten Hoefler (CoRR, 2024)