§ 02 · Index of work
Publications & Preprints
A complete record of peer-reviewed work and preprints, ordered from most recent. Where available, links lead to the published version or the authors' preprint.
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[01]
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[02]
Archetypal Graph Generative Models: Explainable and Identifiable Communities via Anchor-Dominant Convex Hulls
Proceedings of the 29th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR — Spotlight Paper
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[03]
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR
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[04]
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
International Conference on Learning Representations (ICLR), 2025
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[05]
The signed two-space proximity model for learning representations in protein–protein interaction networks
OUP Bioinformatics, 2025
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[06]
Continuous-time Graph Representation with Sequential Survival Process
Proceedings of the AAAI Conference on Artificial Intelligence, 2024
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[07]
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR
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[08]
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
IEEE Transactions on Knowledge and Data Engineering (TKDE)
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[09]
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR
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[10]
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Advances in Complex Systems (ACS)
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[11]
HM-LDM: A Hybrid-Membership Latent Distance Model
Complex Networks and Their Applications XI
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[12]
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations
Proceedings of the First Learning on Graphs Conference, PMLR
Preprints & In Press
§ 02 · ii-
[P1]
Aitchison Embeddings for Learning Compositional Graph Representations
Under review, 2026
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[P2]
Multiplex mapping of social roles in isolated Honduran village networks
Under review, 2026
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[P3]
Benchmark for Assessing Olfactory Perception of Large Language Models
arXiv preprint, 2026
Thesis
§ 02 · iii-
[T1]
Machine Learning for Static and Single-Event Dynamic Complex Network Analysis
PhD Thesis, Technical University of Denmark, 2024