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MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, +2 more
3citations -
TopoEmbedX: A General Framework for Representation Learning on Topological Domains2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access
Florian Frantzen, Ibrahem ALJabea, Inês Henriques-Cadby, Theodore Papamarkou, Mustafa Hajij, Michael T. Schaub
0citations -
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr
3citations -
The Effects of Randomness on the Stability of Node Embeddings2021 Communications in computer and information science conference-paper Computer Science Advanced Graph Neural Networks Open access
Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Martin Grohe, Markus Strohmaier
16citations -
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms2023 Lecture notes in computer science conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr
6citations -
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations2023 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Advanced Graph Neural Networks Open access
Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, +1 more
1citations