This work approaches graph generation (decoding) as the inverse of graph compression (encoding). We show that in a disentanglement-focused deep autoencoding framework, specifically Beta-Variational Autoencoders (Beta-VAE), choices of generative procedures and their parameters arise naturally in the latent space.
Niklas Stoehr 3Emine Yilmaz 3Marc Brockschmidt 6Jan Stuehmer 6
Workshop on Graph Representation Learning, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver
↗ arXiv Paper↗ NeurIPS Paper↗ Presentation Video↗ Interactive Code↗ Poster↗ Slides↗ BibTeX
The digital transformation is driving revolutionary innovations and new market entrants threaten established sectors of the economy such as the automotive industry. Following the need for monitoring shifting industries, we present a network-centered analysis of car manufacturer web pages. Solely exploiting publicly-available information, we construct large networks from web pages and hyperlinks. We tag web pages concerned with topics like e-mobility and environment or autonomous driving, and investigate their relevance in the network.
Niklas Stoehr 9Fabian Braesemann 5Michael Frommelt 9Shi Zhou 3
CompleNet 2020, published in Springer Nature
↗ arXiv Paper↗ Springer Paper↗ IBM Blog Post↗ IBM Livestudio↗ Code↗ BibTeX
To understand the dynamics of the digital knowledge economy, it is crucial to reveal the geography of global flows of knowledge on digital platforms. This article visualizes a key form of knowledge production in the digital economy: mapping the joint collaborations of users from different cities on Stack Overflow, the world’s most popular question-and-answer website for programming questions.
Fabian Braesemann 5Niklas Stoehr 3Marc Graham 5
Regional Studies, Regional Science, Volume 6, 2019
↗ Journal Paper↗ Code↗ BibTeX
1 TU Berlin 2 University of California, Irvine 3 University College London 4 Imperial College London 5 University of Oxford 6 Microsoft Research 7 KIT 8 Carnegie Mellon University 9 IBM 10 Hertie School of Governance