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Frederik Wenkel
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2020 – today
- 2024
- [j1]Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf:
Learnable Filters for Geometric Scattering Modules. IEEE Trans. Signal Process. 72: 2939-2952 (2024) - [c6]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, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024 - [i13]Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini:
On the Scalability of GNNs for Molecular Graphs. CoRR abs/2404.11568 (2024) - [i12]Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf:
Towards a General GNN Framework for Combinatorial Optimization. CoRR abs/2405.20543 (2024) - [i11]Philip Fradkin, Puria Azadi, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini:
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. CoRR abs/2409.08302 (2024) - 2023
- [c5]Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy:
Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations. LoG 2023: 22 - [i10]Dhananjay Bhaskar, Daniel Sumner Magruder, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy:
Inferring dynamic regulatory interaction graphs from time series data with perturbations. CoRR abs/2306.07803 (2023) - [i9]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, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR abs/2310.04292 (2023) - 2022
- [c4]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:
Taxonomy of Benchmarks in Graph Representation Learning. LoG 2022: 6 - [c3]Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf:
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? NeurIPS 2022 - [i8]Frederik Wenkel, Yimeng Min, Matthew J. Hirn, Michael Perlmutter, Guy Wolf:
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. CoRR abs/2201.08932 (2022) - [i7]Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf:
Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem? CoRR abs/2206.01506 (2022) - [i6]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, Ladislav Rampásek:
Taxonomy of Benchmarks in Graph Representation Learning. CoRR abs/2206.07729 (2022) - [i5]Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf:
Learnable Filters for Geometric Scattering Modules. CoRR abs/2208.07458 (2022) - 2021
- [c2]Yimeng Min, Frederik Wenkel, Guy Wolf:
Geometric Scattering Attention Networks. ICASSP 2021: 8518-8522 - [i4]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, Ladislav Rampásek:
Towards a Taxonomy of Graph Learning Datasets. CoRR abs/2110.14809 (2021) - 2020
- [c1]Yimeng Min, Frederik Wenkel, Guy Wolf:
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks. NeurIPS 2020 - [i3]Yimeng Min, Frederik Wenkel, Guy Wolf:
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks. CoRR abs/2003.08414 (2020) - [i2]Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf:
Data-Driven Learning of Geometric Scattering Networks. CoRR abs/2010.02415 (2020) - [i1]Yimeng Min, Frederik Wenkel, Guy Wolf:
Geometric Scattering Attention Networks. CoRR abs/2010.15010 (2020)
Coauthor Index
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