Publications

2024

  1. Future Directions in Foundations of Graph Machine Learning
    Christopher Morris, Nadav Dym, Haggai Maron, and 7 more authors
    CoRR, 2024
  2. Weisfeiler-Leman at the margin: When more expressivity matters
    Billy J. Franks, Christopher Morris, Ameya Velingker, and 1 more author
    CoRR, 2024

2023

  1. Arxiv
    Attending to Graph Transformers
    Luis Müller, Mikhail Galkin, Christopher Morris, and 1 more author
    CoRR, 2023
  2. Combinatorial Optimization and Reasoning with Graph Neural Networks
    Quentin Cappart, Didier Chételat, Elias B. Khalil, and 3 more authors
    J. Mach. Learn. Res., 2023
  3. WL meet VC
    Christopher Morris, Floris Geerts, Jan Tönshoff, and 1 more author
    In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023
  4. Fine-grained Expressivity of Graph Neural Networks
    Jan Böker, Ron Levie, Ningyuan Huang, and 2 more authors
    CoRR, 2023
  5. Probabilistically Rewired Message-Passing Neural Networks
    Chendi Qian, Andrei Manolache, Kareem Ahmed, and 4 more authors
    CoRR, 2023
  6. Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
    Dominique Beaini, Shenyang Huang, Joao Alex Cunha, and 32 more authors
    CoRR, 2023
  7. Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
    Chendi Qian, Didier Chételat, and Christopher Morris
    CoRR, 2023

2022

  1. Influence-Based Mini-Batching for Graph Neural Networks
    Johannes Gasteiger, Chendi Qian, and Stephan Günnemann
    In Learning on Graphs Conference, LoG 2022, 9-12 December 2022, Virtual Event, 2022
  2. MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
    Elias B. Khalil, Christopher Morris, and Andrea Lodi
    In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022
  3. SpeqNets: Sparsity-aware permutation-equivariant graph networks
    Christopher Morris, Gaurav Rattan, Sandra Kiefer, and 1 more author
    In International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022
  4. Weisfeiler and Leman Go Relational
    Pablo Barceló, Mikhail Galkin, Christopher Morris, and 1 more author
    In Learning on Graphs Conference, LoG 2022, 9-12 December 2022, Virtual Event, 2022
  5. Ordered Subgraph Aggregation Networks
    Chendi Qian, Gaurav Rattan, Floris Geerts, and 2 more authors
    In NeurIPS, 2022
  6. The Weisfeiler-Leman Method for Machine Learning with Graphs
    Nils M. Kriege, and Christopher Morris
    In Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022
  7. Graph Embeddings: Theory meets Practice (Dagstuhl Seminar 22132)
    Martin Grohe, Stephan Günnemann, Stefanie Jegelka, and 1 more author
    Dagstuhl Reports, 2022

2021

  1. Combinatorial Optimization and Reasoning with Graph Neural Networks
    Quentin Cappart, Didier Chételat, Elias B. Khalil, and 3 more authors
    In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 2021
  2. The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
    Christopher Morris, Matthias Fey, and Nils M. Kriege
    In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 2021
  3. The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
    Maxime Gasse, Simon Bowly, Quentin Cappart, and 39 more authors
    In NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online, 2021
  4. Reconstruction for Powerful Graph Representations
    Leonardo Cotta, Christopher Morris, and Bruno Ribeiro
    In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021

2020

  1. A survey on graph kernels
    Nils M. Kriege, Fredrik D. Johansson, and Christopher Morris
    Appl. Netw. Sci., 2020
  2. Classifying Dissemination Processes in Temporal Graphs
    Lutz Oettershagen, Nils M. Kriege, Christopher Morris, and 1 more author
    Big Data, 2020
  3. Deep Graph Matching Consensus
    Matthias Fey, Jan Eric Lenssen, Christopher Morris, and 2 more authors
    In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020
  4. Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
    Christopher Morris, Gaurav Rattan, and Petra Mutzel
    In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020
  5. Temporal Graph Kernels for Classifying Dissemination Processes
    Lutz Oettershagen, Nils M. Kriege, Christopher Morris, and 1 more author
    In Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7-9, 2020, 2020
  6. TUDataset: A collection of benchmark datasets for learning with graphs
    Christopher Morris, Nils M. Kriege, Franka Bause, and 3 more authors
    CoRR, 2020

2019

  1. A unifying view of explicit and implicit feature maps of graph kernels
    Nils M. Kriege, Marion Neumann, Christopher Morris, and 2 more authors
    Data Min. Knowl. Discov., 2019
  2. Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
    Christopher Morris, Martin Ritzert, Matthias Fey, and 4 more authors
    In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019
  3. Lernen mit Graphen: Kern- und neuronale Methoden
    Christopher Morris
    In Ausgezeichnete Informatikdissertationen 2019, 2019
  4. A Survey on Graph Kernels
    Nils M. Kriege, Fredrik D. Johansson, and Christopher Morris
    CoRR, 2019

2018

  1. A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
    Nils M. Kriege, Christopher Morris, Anja Rey, and 1 more author
    In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, 2018
  2. Hierarchical Graph Representation Learning with Differentiable Pooling
    Zhitao Ying, Jiaxuan You, Christopher Morris, and 3 more authors
    In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018

2017

  1. Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs
    Christopher Morris, Kristian Kersting, and Petra Mutzel
    In 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, 2017
  2. Recent Advances in Kernel-Based Graph Classification
    Nils M. Kriege, and Christopher Morris
    In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III, 2017