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staff:morris [2019-02-08 07:16]
Christopher Morris [Activities]
staff:morris [2019-03-06 22:21] (current)
Christopher Morris [Research Interests]
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   * Machine learning with graphs,   * Machine learning with graphs,
-  ​* Algorithm Engineering,​ Algorithmic Data Analysis +  * Combinatorial optimization and graph algorithms
-  ​* Combinatorial optimization and graph algorithms+  * Machine Learning for combinatorial optimization
  
  
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   * **Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks** (Preprint ''​[[https://​arxiv.org/​abs/​1810.02244|arXiv:​1810.02244]]''​) \\ Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe,\\ //  AAAI Conference on Artificial Intelligence (AAAI) 2019.//​\\ ​ [[https://​github.com/​chrsmrrs/​k-gnn|[Source Code]]][[https://​de.slideshare.net/​ChristopherMorris104/​weisfeiler-and-leman-go-neural-higherorder-graph-neural-networks|[Slides]]]   * **Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks** (Preprint ''​[[https://​arxiv.org/​abs/​1810.02244|arXiv:​1810.02244]]''​) \\ Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe,\\ //  AAAI Conference on Artificial Intelligence (AAAI) 2019.//​\\ ​ [[https://​github.com/​chrsmrrs/​k-gnn|[Source Code]]][[https://​de.slideshare.net/​ChristopherMorris104/​weisfeiler-and-leman-go-neural-higherorder-graph-neural-networks|[Slides]]]
  
-  * **[[http://​papers.nips.cc/​paper/​7729-hierarchical-graph-representation-learning-with-differentiable-pooling|Hierarchical Graph Representation Learning with Differentiable Pooling]]** ​ (Preprint ''​[[https://​arxiv.org/​abs/​1806.08804|arXiv:​1806.08804]]''​) \\ Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec, \\ // Neural Information Processing Systems (NeurIPS) ​2019, spotlight presentation,​ and KDD Deep Learning Day 2018.//​\\ ​ [[https://​github.com/​RexYing/​graph-pooling|[Source Code]]]+  * **[[http://​papers.nips.cc/​paper/​7729-hierarchical-graph-representation-learning-with-differentiable-pooling|Hierarchical Graph Representation Learning with Differentiable Pooling]]** ​ (Preprint ''​[[https://​arxiv.org/​abs/​1806.08804|arXiv:​1806.08804]]''​) \\ Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec, \\ // Neural Information Processing Systems (NeurIPS) ​2018, spotlight presentation,​ and KDD Deep Learning Day 2018.//​\\ ​ [[https://​github.com/​RexYing/​graph-pooling|[Source Code]]]
  
   * ** [[https://​www.ijcai.org/​proceedings/​2018/​325|A Property Testing Framework for the Theoretical   * ** [[https://​www.ijcai.org/​proceedings/​2018/​325|A Property Testing Framework for the Theoretical
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   * Franka Bause (BT, 2017): //​Approximation der Editierdistanz für Graphen in linearer Zeit//   * Franka Bause (BT, 2017): //​Approximation der Editierdistanz für Graphen in linearer Zeit//
   * Ryan Ladwig (Student intern from [[http://​www.nau.edu|NAU]],​ 2017): //Design and Implementation of k-disk Graph Kernels//   * Ryan Ladwig (Student intern from [[http://​www.nau.edu|NAU]],​ 2017): //Design and Implementation of k-disk Graph Kernels//
-  * Jannis Junge (MT, 2018): //​Approximation des Graphenspektrums//+  * Jannis Junge (MT, 2018): //Algorithm Engineering zur Approximation des Spektrums von Graphen in der Praxis//
   * Marcel Walker (MT, 2018): //​Systematisierung von neuronalen Netzen auf Graphen//   * Marcel Walker (MT, 2018): //​Systematisierung von neuronalen Netzen auf Graphen//
   * Nina Runde (BT, 2018): //​Evaluation von Varianten des $k$-dimensionalen Weisfeiler-Leman Algorithmus ​ //   * Nina Runde (BT, 2018): //​Evaluation von Varianten des $k$-dimensionalen Weisfeiler-Leman Algorithmus ​ //
 
Last modified: 2019-02-08 07:16 by Christopher Morris
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