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staff:morris [2019-01-23 10:47] |
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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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| ======= Refereed Conference Articles ======= | ======= Refereed Conference Articles ======= | ||
| - | * **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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| * **A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels** (Preprint ''[[https://arxiv.org/abs/1703.00676|arXiv:1703.00676]]'') \\ [[staff:kriege|Nils M. Kriege]], [[https://sites.wustl.edu/neumann|Marion Neumann]], Christopher Morris, [[http://www-ai.cs.uni-dortmund.de/PERSONAL/kersting.html|Kristian Kersting]], [[staff:mutzel|Petra Mutzel]]. \\ | * **A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels** (Preprint ''[[https://arxiv.org/abs/1703.00676|arXiv:1703.00676]]'') \\ [[staff:kriege|Nils M. Kriege]], [[https://sites.wustl.edu/neumann|Marion Neumann]], Christopher Morris, [[http://www-ai.cs.uni-dortmund.de/PERSONAL/kersting.html|Kristian Kersting]], [[staff:mutzel|Petra Mutzel]]. \\ | ||
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| + | * **A Survey on Graph Kernels** (Preprint ''[[https://arxiv.org/abs/1903.11835|arXiv:1903.11835]]'') \\ Nils M. Kriege, Fredrik D. Johansson, Christopher Morris. \\ | ||
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| + | * **Towards a practical $k$-dimensional Weisfeiler-Leman algorithm** (Preprint ''[[https://arxiv.org/abs/1904.01543|arXiv:1904.01543]]'') \\ Christopher Morris, Petra Mutzel. \\ | ||
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| ===== Benchmark Data Sets ===== | ===== Benchmark Data Sets ===== | ||
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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 // | ||
| - | ====== Sommersemester 2018 ====== | + | |
| + | ====== Sommersemester 2019 ====== | ||
| + | * [[https://ls11-www.cs.tu-dortmund.de/staff/mutzel/prosemgraphalg | Proseminar Graphenalgorithmen]] | ||
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| + | |||
| + | ====== Sommersemester 2019 ====== | ||
| * [[:teaching:seminarae-ss2018 | Seminar Algorithm Engineering]] | * [[:teaching:seminarae-ss2018 | Seminar Algorithm Engineering]] | ||
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| ===== Activities ===== | ===== Activities ===== | ||
| - | * 27.01.2019--01.02.2019: [[https://aaai.org/Conferences/AAAI-19/|AAAI Conference on Artificial Intelligence]] (Poster) | + | * 27.01.2019--01.02.2019: [[https://aaai.org/Conferences/AAAI-19/|AAAI Conference on Artificial Intelligence]] (Spotlight Talk + Poster) |
| * 02.12.2018--08.12.2018: [[https://nips.cc/|Conference on Neural Information Processing Systems 2018 | * 02.12.2018--08.12.2018: [[https://nips.cc/|Conference on Neural Information Processing Systems 2018 | ||
| ]] (Spotlight Talk + Poster) | ]] (Spotlight Talk + Poster) | ||