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Thomas Kipf | PhD Student @ Univ. of Amsterdam

I am a first year PhD student in Deep Learning for Network Analysis at the University of Amsterdam, supervised by Prof. Max Welling. My main area of interest is large-scale inference for structured data and semi-supervised learning. I am also interested in self-organization and learning in biological systems. My formal background is in Physics (M.Sc. hons. 2016, B.Sc. 2014 at FAU. Mdash;eventually developed a deep interest in Machine Learning. A latent variable model for graph-structured data. BSc thesis...

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Thomas Kipf | PhD Student @ Univ. of Amsterdam | tkipf.github.io Reviews

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I am a first year PhD student in Deep Learning for Network Analysis at the University of Amsterdam, supervised by Prof. Max Welling. My main area of interest is large-scale inference for structured data and semi-supervised learning. I am also interested in self-organization and learning in biological systems. My formal background is in Physics (M.Sc. hons. 2016, B.Sc. 2014 at FAU. Mdash;eventually developed a deep interest in Machine Learning. A latent variable model for graph-structured data. BSc thesis...

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Thomas Kipf | PhD Student @ Univ. of Amsterdam | tkipf.github.io Reviews

https://tkipf.github.io

I am a first year PhD student in Deep Learning for Network Analysis at the University of Amsterdam, supervised by Prof. Max Welling. My main area of interest is large-scale inference for structured data and semi-supervised learning. I am also interested in self-organization and learning in biological systems. My formal background is in Physics (M.Sc. hons. 2016, B.Sc. 2014 at FAU. Mdash;eventually developed a deep interest in Machine Learning. A latent variable model for graph-structured data. BSc thesis...

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Graph Convolutional Networks | Thomas Kipf | PhD Student @ Univ. of Amsterdam

http://tkipf.github.io/graph-convolutional-networks

Thomas Kipf, 30 September 2016. Multi-layer Graph Convolutional Network (GCN) with first-order filters. Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural network models to such structured datasets. ICLR 2014; Henaff et al. 2015; Duvenaud et al. NIPS 2015; Li et al. That discusses...

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Thomas Kipf | PhD Student @ Univ. of Amsterdam

I am a first year PhD student in Deep Learning for Network Analysis at the University of Amsterdam, supervised by Prof. Max Welling. My main area of interest is large-scale inference for structured data and semi-supervised learning. I am also interested in self-organization and learning in biological systems. My formal background is in Physics (M.Sc. hons. 2016, B.Sc. 2014 at FAU. Mdash;eventually developed a deep interest in Machine Learning. A latent variable model for graph-structured data. BSc thesis...

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