Dylan Sandfelder

According to our database, Dylan Sandfelder authored at least 4 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Data-Driven Graph Filters via Adaptive Spectral Shaping.

Dylan Sandfelder, Mihai Cucuringu, Xiaowen Dong

CoRR, February, 2026

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, Ladislav Rampásek

CoRR, 2022

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, Ladislav Rampásek

CoRR, 2021

Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks.

Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton

Proceedings of the IEEE International Conference on Acoustics, 2021