Frederik Wenkel

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Geometric Information

Edge Enhancement

Graph Representation

Highly Connected

Top Venues

Publications

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)
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini
On the Scalability of GNNs for Molecular Graphs. CoRR (2024)
Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf
Towards a General GNN Framework for Combinatorial Optimization. CoRR (2024)
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 (2024)
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 (2023)
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)
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 (2023)
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
Learnable Filters for Geometric Scattering Modules. CoRR (2022)
Frederik Wenkel, Yimeng Min, Matthew Hirn, Michael Perlmutter, Guy Wolf
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. CoRR (2022)
Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem? CoRR (2022)
Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? NeurIPS (2022)
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 (2022)
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)
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampásek
Towards a Taxonomy of Graph Learning Datasets. CoRR (2021)
Yimeng Min, Frederik Wenkel, Guy Wolf
Geometric Scattering Attention Networks. ICASSP (2021)
Yimeng Min, Frederik Wenkel, Guy Wolf
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks. CoRR (2020)
Yimeng Min, Frederik Wenkel, Guy Wolf
Geometric Scattering Attention Networks. CoRR (2020)
Yimeng Min, Frederik Wenkel, Guy Wolf
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks. NeurIPS (2020)
Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf
Data-Driven Learning of Geometric Scattering Networks. CoRR (2020)