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staff:morris [2019-08-15 21:46]
Christopher Morris [Preprints and Working Papers]
staff:morris [2019-12-04 16:41] (current)
Christopher Morris [Christopher Morris]
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 | GitHub: | https://​github.com/​chrsmrrs | | GitHub: | https://​github.com/​chrsmrrs |
  
-===== Research Interests ===== +**My homepage moved [[http://​www.christophermorris.info|here]].**
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-  ​Machine learning with graphs, +
-  ​Combinatorial optimization and graph algorithms,​ +
-  * Machine Learning for combinatorial optimization +
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-[[http://​sfb876.tu-dortmund.de/​index.html?​p-selected=%27news%27|Collaborative Research Center +
-SFB 876 - Providing Information by Resource-Constrained Data Analysis]] +
- +
-[[http://​sfb876.tu-dortmund.de/​SPP/​sfb876-a6.html|Resource-efficient Graph Mining]] +
- +
-//Fun Fact:// ​My Erdős number is at most 3 (via Petra Mutzel → Bojan Mohar → P. Erdős) +
-===== Publications ===== +
- +
-======= 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]]] +
- +
-  * **[[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 +
-Expressivity of Graph Kernels]] ** \\ Nils MKriege, Christopher Morris, Anja Rey, Christian Sohler, \\ // International Joint Conference on Artificial Intelligence (IJCAI) 2018.// +
- +
-  ​* **[[http://​ieeexplore.ieee.org/​document/​8215505/​|Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs]] ** (Preprint ''​[[https://​arxiv.org/​abs/​1703.02379|arXiv:​1703.02379]]''​) \\ Christopher Morris, Kristian Kersting, Petra Mutzel, \\ //IEEE International Conference on Data Mining (IEEE ICDM) 2017, full paper.//\\ [[https://​github.com/​chrsmrrs/​glocalwl|[Source Code]]] [[https://​de.slideshare.net/​ChristopherMorris104/​glocalized-weisfeilerlehman-graph-kernels-globallocal-feature-maps-of-graphs-82159453|[Slides]]] +
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-  * **[[https://​link.springer.com/​chapter/​10.1007%2F978-3-319-71273-4_37|Recent Advances in Kernel-Based Graph Classification]]** \\ Nils M. Kriege, Christopher Morris,\\ // European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2017, nectar track.//\\ [[https://​de.slideshare.net/​secret/​dKvWYSuOwqSObF|[Slides]]] +
- +
-  * **[[http://​ieeexplore.ieee.org/​document/​7837955/​|Faster Kernels for Graphs with Continuous Attributes via Hashing]]** (Preprint ''​[[https://​arxiv.org/​abs/​1610.00064|arXiv:​1610.00064]]''​) \\ Christopher Morris, Nils M. Kriege, Kristian Kersting, ​ Petra Mutzel, \\ //IEEE International Conference on Data Mining (IEEE ICDM) 2016.//​\\ ​ [[https://​github.com/​chrsmrrs/​hashgraphkernel|[Source Code]]] +
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-======= Refereed Journal Articles ======= +
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-  * **[[http://​onlinelibrary.wiley.com/​doi/​10.1002/​mcda.1603/​abstract|Output-sensitive Complexity of Multiobjective Combinatorial Optimization]]** ​ (Preprint ''​[[https://​arxiv.org/​abs/​1610.07204|arXiv:​1610.07204]]''​) \\ [[staff:​boekler|Fritz Bökler]], [[http://​www.lancaster.ac.uk/​lums/​people/​matthias-ehrgott|Matthias Ehrgott]], Christopher Morris, [[staff:​mutzel|Petra Mutzel]], \\ //Journal of Multicriteria Decision Analysis,// 2016. +
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-======= Preprints and Working Papers ======= +
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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]]. \\ +
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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 ===== +
-  * [[staff:​morris:​graphkerneldatasets|Benchmark Data Sets for Graph Kernels]] +
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-===== Teaching ===== +
- +
-======= Supervised Students ======= +
-  * Marcel Walker (BT, 2016): //​Dimensionsreduktion von Merkmalsvektoren +
-für explizite Graphkerne//​ +
-  * Christopher Osthues (BT, 2016): //​Experimenteller Vergleich von +
-Labeling-Verfahren für Graphkerne//​ +
-  * Serdar Ayaz (BT, 2016): //​Approximation des Weisfeiler-Lehman-Isomorphie-Tests durch Sampling//​ +
-  * 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// +
-  * 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// +
-  * Nina Runde (BT, 2018): //​Evaluation von Varianten des $k$-dimensionalen Weisfeiler-Leman Algorithmus ​ // +
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-====== 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]] +
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-====== Wintersemester 2017/18 ====== +
-  * [[:​teaching:​seminarae-ws2017 | Seminar Algorithm Engineering]] +
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-====== Sommersemester 2017 ====== +
-  * [[:​teaching:​seminarae-ss2017 | Seminar Algorithm Engineering]] +
- +
-====== Wintersemester 2016/17 ====== +
-  * [[https://​www.lsf.tu-dortmund.de/​qisserver/​rds?​state=verpublish&​status=init&​vmfile=no&​publishid=175538&​moduleCall=webInfo&​publishConfFile=webInfo&​publishSubDir=veranstaltung|PG 600: DeepNewsDive – Maschinen lesen Zeitung]] +
-  * [[teaching:​fp_ae-ws2016|Fachprojekt Algorithm Engineering for Graph Data Mining]] +
-  * [[/​staff/​mutzel/​prosemunplugged|Proseminar Algorithms Unplugged]] +
-======= Sommersemester 2016 ======= +
-  * [[https://​www.lsf.tu-dortmund.de/​qisserver/​rds?​state=verpublish&​status=init&​vmfile=no&​publishid=175538&​moduleCall=webInfo&​publishConfFile=webInfo&​publishSubDir=veranstaltung|PG 600: DeepNewsDive – Maschinen lesen Zeitung]] +
-  *  [[:​teaching:​seminarae-ss2016 | Seminar Algorithm Engineering]] +
-  *  [[:​teaching:​seminar-gdm-ss2016 | Seminar Graph Mining]] +
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-====== Wintersemester 2015/16 ====== +
-  * [[:​teaching:​seminarae-ws2015 | Seminar Algorithm Engineering]] +
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-===== Activities ===== +
-  * 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 +
-]] (Spotlight Talk + Poster) +
-  * 15.01.2018--31.03.2018:​ Research stay at Stanford University with [[http://​cs.stanford.edu/​~jure/​|Jure Leskovec]] +
-  * 18.11.2017--21.11.2017:​ [[http://​http://​icdm2017.bigke.org/​|IEEE International Conference on Data Mining 2017]] (Talk) +
-  * 18.09.2017--22.09.2017:​ [[http://​ecmlpkdd2017.ijs.si/​|ECML PKKD 2017]] (Talk) +
-  * 19.06.2017--30.06.2017:​ [[http://​mlss.tuebingen.mpg.de/​2017/​|The Machine Learning Summer School]] (Poster) +
-  * 09.06.2017--11.06.2017:​ [[http://​highlightsofalgorithms.org/​|Highlights of Algorithms 2017]] +
-  * 12.12.2016--15.12.2016:​ [[http://​icdm2016.eurecat.org/​|IEEE International Conference on Data Mining 2016 ]] (Talk) +
-  * 22.02.--26.02.2016:​ [[http://​www.cse.iitm.ac.in/​abd/?​mode=Home|Indo-German Spring School on Algorithms for Big Data]] +
-  * 28.09.--30.09.2015:​ [[http://​ls2-www.cs.uni-dortmund.de/​acbd|ACBD 2015 -- Algorithmic Challenges of Big Data]] +
-   +
 
Last modified: 2019-08-15 21:46 by Christopher Morris
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