Maximilian Nickel
Mila - Quebec Artificial Intelligence Institute(CA)
Publications by Year
Research Areas
Advanced Graph Neural Networks, Topic Modeling, Bayesian Modeling and Causal Inference, Tensor decomposition and applications, Natural Language Processing Techniques
Most-Cited Works
- A Three-Way Model for Collective Learning on Multi-Relational Data(2011)
- → A Review of Relational Machine Learning for Knowledge Graphs(2015)1,613 cited
- → Holographic Embeddings of Knowledge Graphs(2016)616 cited
- → Factorizing YAGO(2012)376 cited
- → Poincaré Embeddings for Learning Hierarchical Representations(2017)171 cited
- → Flow Matching for Generative Modeling(2022)86 cited
- → Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic\n Geometry(2018)85 cited
- → Poincaré maps for analyzing complex hierarchies in single-cell data(2020)83 cited
- A Review of Relational Machine Learning for Knowledge Graphs From Multi-Relational Link Prediction to Automated Knowledge Graph Construction(2015)
- → Hyperbolic Graph Neural Networks(2019)77 cited