Cache Oblivious Minimum Cut. - Barbara Geissmann; Lukas Gianinazzi (CIAC, 2017)

Communication-avoiding parallel minimum cuts and connected components. - Lukas Gianinazzi; Pavel Kalvoda; Alessandro De Palma; Maciej Besta; Torsten Hoefler (PPoPP, 2018)

Routing in Stochastic Public Transit Networks. - Barbara Geissmann; Lukas Gianinazzi (ATMOS, 2019)

Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics. - Maciej Besta; Simon Weber 001; Lukas Gianinazzi; Robert Gerstenberger; Andrey Ivanov 002; Yishai Oltchik; Torsten Hoefler (SC, 2019)

High-performance parallel graph coloring with strong guarantees on work, depth, and quality. - Maciej Besta; Armon Carigiet; Kacper Janda; Zur Vonarburg-Shmaria; Lukas Gianinazzi; Torsten Hoefler (SC, 2020)

Parallel Planar Subgraph Isomorphism and Vertex Connectivity. - Lukas Gianinazzi; Torsten Hoefler (SPAA, 2020)

Parametric Graph Templates: Properties and Algorithms. - Tal Ben-Nun; Lukas Gianinazzi; Torsten Hoefler; Yishai Oltchik (CoRR, 2020)

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. - Maciej Besta; Raghavendra Kanakagiri; Grzegorz Kwasniewski; Rachata Ausavarungnirun; Jakub Beránek; Konstantinos Kanellopoulos; Kacper Janda; Zur Vonarburg-Shmaria; Lukas Gianinazzi; Ioana Stefan; Juan Gómez-Luna; Jakub Golinowski; et al. (MICRO, 2021)

Parallel Algorithms for Finding Large Cliques in Sparse Graphs. - Lukas Gianinazzi; Maciej Besta; Yannick Schaffner; Torsten Hoefler (SPAA, 2021)

Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. - Grzegorz Kwasniewski; Tal Ben-Nun; Lukas Gianinazzi; Alexandru Calotoiu; Timo Schneider; Alexandros Nikolaos Ziogas; Maciej Besta; Torsten Hoefler (SPAA, 2021)

GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. - Maciej Besta; Zur Vonarburg-Shmaria; Yannick Schaffner; Leonardo Schwarz; Grzegorz Kwasniewski; Lukas Gianinazzi; Jakub Beránek; Kacper Janda; Tobias Holenstein; Sebastian Leisinger; Peter Tatkowski; Esref Özdemir; et al. (CoRR, 2021)

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. - Maciej Besta; Raghavendra Kanakagiri; Grzegorz Kwasniewski; Rachata Ausavarungnirun; Jakub Beránek; Konstantinos Kanellopoulos; Kacper Janda; Zur Vonarburg-Shmaria; Lukas Gianinazzi; Ioana Stefan; Juan Gómez-Luna; Marcin Copik; et al. (CoRR, 2021)

Learning Combinatorial Node Labeling Algorithms. - Lukas Gianinazzi; Maximilian Fries; Nikoli Dryden; Tal Ben-Nun; Maciej Besta; Torsten Hoefler (CoRR, 2021)

GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. - Maciej Besta; Zur Vonarburg-Shmaria; Yannick Schaffner; Leonardo Schwarz; Grzegorz Kwasniewski; Lukas Gianinazzi; Jakub Beránek; Kacper Janda; Tobias Holenstein; Sebastian Leisinger; Peter Tatkowski; Esref Özdemir; et al. (Proc. VLDB Endow., 2021)

Parallel Minimum Cuts in Near-linear Work and Low Depth. - Barbara Geissmann; Lukas Gianinazzi (ACM Trans. Parallel Comput., 2021)

Motif Prediction with Graph Neural Networks. - Maciej Besta; Raphael Grob; Cesare Miglioli; Nicola Bernold; Grzegorz Kwasniewski; Gabriel Gjini; Raghavendra Kanakagiri; Saleh Ashkboos; Lukas Gianinazzi; Nikoli Dryden; Torsten Hoefler (KDD, 2022)

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts. - Saleh Ashkboos; Langwen Huang; Nikoli Dryden; Tal Ben-Nun; Peter Dueben; Lukas Gianinazzi; Luca Kummer; Torsten Hoefler (NeurIPS, 2022)

The spatial computer: A model for energy-efficient parallel computation. - Lukas Gianinazzi; Tal Ben-Nun; Saleh Ashkboos; Yves Baumann; Piotr Luczynski; Torsten Hoefler (CoRR, 2022)

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast. - Saleh Ashkboos; Langwen Huang; Nikoli Dryden; Tal Ben-Nun; Peter Dueben; Lukas Gianinazzi; Luca Kummer; Torsten Hoefler (CoRR, 2022)

Maximum Flows in Parametric Graph Templates. - Tal Ben-Nun; Lukas Gianinazzi; Torsten Hoefler; Yishai Oltchik (CIAC, 2023)

Streaming Task Graph Scheduling for Dataflow Architectures. - Tiziano De Matteis; Lukas Gianinazzi; Johannes de Fine Licht; Torsten Hoefler (HPDC, 2023)

HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers. - Maciej Besta; Afonso Claudino Catarino; Lukas Gianinazzi; Nils Blach; Piotr Nyczyk; Hubert Niewiadomski; Torsten Hoefler (LoG, 2023)

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)

Graph of Thoughts: Solving Elaborate Problems with Large Language Models. - Maciej Besta; Nils Blach; Ales Kubicek; Robert Gerstenberger; Michal Podstawski; Lukas Gianinazzi; Joanna Gajda; Tomasz Lehmann; Hubert Niewiadomski; Piotr Nyczyk; Torsten Hoefler (AAAI, 2024)

Near-Optimal Wafer-Scale Reduce. - Piotr Luczynski; Lukas Gianinazzi; Patrick Iff; Leighton Wilson; Daniele De Sensi; Torsten Hoefler (HPDC, 2024)

DiffDA: a Diffusion model for weather-scale Data Assimilation. - Langwen Huang; Lukas Gianinazzi; Yuejiang Yu; Peter D. Düben; Torsten Hoefler (ICML, 2024)

Low-Depth Spatial Tree Algorithms. - Yves Baumann; Tal Ben-Nun; Maciej Besta; Lukas Gianinazzi; Torsten Hoefler; Piotr Luczynski (IPDPS, 2024)

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)

Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts. - Maciej Besta; Florim Memedi; Zhenyu Zhang; Robert Gerstenberger; Nils Blach; Piotr Nyczyk; Marcin Copik; Grzegorz Kwasniewski; Jürgen Müller; Lukas Gianinazzi; Ales Kubicek; Hubert Niewiadomski; et al. (CoRR, 2024)

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

Energy-Optimal and Low-Depth Algorithmic Primitives for Spatial Dataflow Architectures. - Lukas Gianinazzi; Tal Ben-Nun; Maciej Besta; Saleh Ashkboos; Yves Baumann; Piotr Luczynski; Torsten Hoefler (IPDPS, 2025)

Exploiting Graph Structure to Accelerate Sparse Computations. - Lukas Gianinazzi (2025)