Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks. - Yimeng Min; Frederik Wenkel; Guy Wolf (NeurIPS, 2020)

Data-Driven Learning of Geometric Scattering Networks. - Alexander Tong 001; Frederik Wenkel; Kincaid MacDonald; Smita Krishnaswamy; Guy Wolf (CoRR, 2020)

Geometric Scattering Attention Networks. - Yimeng Min; Frederik Wenkel; Guy Wolf (ICASSP, 2021)

Towards a Taxonomy of Graph Learning Datasets. - Renming Liu; Semih Cantürk; Frederik Wenkel; Dylan Sandfelder; Devin Kreuzer; Anna Little; Sarah McGuire; Leslie O'Bray; Michael Perlmutter; Bastian Rieck; Matthew J. Hirn; Guy Wolf; et al. (CoRR, 2021)

Taxonomy of Benchmarks in Graph Representation Learning. - Renming Liu; Semih Cantürk; Frederik Wenkel; Sarah McGuire; Xinyi Wang; Anna Little; Leslie O'Bray; Michael Perlmutter; Bastian Rieck; Matthew J. Hirn; Guy Wolf; Ladislav Rampásek (LoG, 2022)

Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? - Yimeng Min; Frederik Wenkel; Michael Perlmutter; Guy Wolf (NeurIPS, 2022)

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. - Frederik Wenkel; Yimeng Min; Matthew J. Hirn; Michael Perlmutter; Guy Wolf (CoRR, 2022)

Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem? - Yimeng Min; Frederik Wenkel; Michael Perlmutter; Guy Wolf (CoRR, 2022)

Taxonomy of Benchmarks in Graph Representation Learning. - Renming Liu; Semih Cantürk; Frederik Wenkel; Dylan Sandfelder; Devin Kreuzer; Anna Little; Sarah McGuire; Leslie O'Bray; Michael Perlmutter; Bastian Rieck; Matthew J. Hirn; Guy Wolf; et al. (CoRR, 2022)

Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations. - Dhananjay Bhaskar; Daniel Sumner Magruder; Matheo Morales; Edward De Brouwer; Aarthi Venkat; Frederik Wenkel; Guy Wolf; Smita Krishnaswamy (LoG, 2023)

Inferring dynamic regulatory interaction graphs from time series data with perturbations. - Dhananjay Bhaskar; Daniel Sumner Magruder; Edward De Brouwer; Aarthi Venkat; Frederik Wenkel; Guy Wolf; Smita Krishnaswamy (CoRR, 2023)

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. - Dominique Beaini; Shenyang Huang; Joao Alex Cunha; Zhiyi Li; Gabriela Moisescu-Pareja; Oleksandr Dymov; Samuel Maddrell-Mander; Callum McLean; Frederik Wenkel; Luis Müller; Jama Hussein Mohamud; Ali Parviz; et al. (CoRR, 2023)

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. - Dominique Beaini; Shenyang Huang; Joao Alex Cunha; Zhiyi Li; Gabriela Moisescu-Pareja; Oleksandr Dymov; Samuel Maddrell-Mander; Callum McLean; Frederik Wenkel; Luis Müller; Jama Hussein Mohamud; Ali Parviz; et al. (ICLR, 2024)

Towards a General Recipe for Combinatorial Optimization With Multi-Filter GNNs. - Frederik Wenkel; Semih Cantürk; Stefan Horoi; Michael Perlmutter; Guy Wolf (LoG, 2024)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. - Philip Fradkin; Puria Azadi Moghadam; Karush Suri; Frederik Wenkel; Ali Bashashati; Maciej Sypetkowski; Dominique Beaini (NeurIPS, 2024)

On the Scalability of GNNs for Molecular Graphs. - Maciej Sypetkowski; Frederik Wenkel; Farimah Poursafaei; Nia Dickson; Karush Suri; Philip Fradkin; Dominique Beaini (NeurIPS, 2024)

Towards a General GNN Framework for Combinatorial Optimization. - Frederik Wenkel; Semih Cantürk; Michael Perlmutter; Guy Wolf (CoRR, 2024)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. - Philip Fradkin; Puria Azadi; Karush Suri; Frederik Wenkel; Ali Bashashati; Maciej Sypetkowski; Dominique Beaini (CoRR, 2024)

Learnable Filters for Geometric Scattering Modules. - Alexander Tong 001; Frederik Wenkel; Dhananjay Bhaskar; Kincaid MacDonald; Jackson D. Grady; Michael Perlmutter; Smita Krishnaswamy; Guy Wolf (IEEE Trans. Signal Process., 2024)

TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction. - Frederik Wenkel; Wilson Tu; Cassandra Masschelein; Hamed Shirzad; Cian Eastwood; Shawn Whitfield; Ihab Bendidi; Craig Russell; Liam Hodgson; Yassir El Mesbahi; Jiarui Ding; Marta M. Fay; et al. (CoRR, 2025)