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researcher

Maximilian Thiessen

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedGeneralized Laplacian Positional Encoding for Graph Representation Learning

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 4 cited

Generalized Laplacian Positional Encoding for Graph Representation Learning

Sohir Maskey, Ali Parviz, Maximilian Thiessen +3

Graph neural networks (GNNs) are the primary tool for processing graph-structured data. Unfortunately, the most commonly used GNNs, called Message Passing Neural Networks (MPNNs) s…

cs.LG2022

Active Learning of Classifiers with Label and Seed Queries

Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi +2

We study exact active learning of binary and multiclass classifiers with margin. Given an n-point set X⊂Rm, we want to learn any unknown classifier on X who…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.