PhD student, Heidelberg Institute for Theoretical Studies
1 paper at NeurIPS 2025
We propose Permutation Equivariant Graph Neural CDEs, an equivariant and parameter-efficient extension of Graph Neural CDEs for dynamic graph representation learning.
