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Morris, Christopher

  1. Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
    2018/10/04 by Morris, Christopher, Ritzert, Martin, Fey, Matthias +4 · 69 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  2. TUDataset: A collection of benchmark datasets for learning with graphs
    2020/07/16 by Nils M. Kriege, Morris, Christopher, Kriege, Nils M. +8 · 65 citations
    Computer Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Topic Modeling
  3. Hierarchical Graph Representation Learning with Differentiable Pooling
    2018/06/22 by Ying, Rex, You, Jiaxuan, Morris, Christopher +3 · 44 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Social and Information Networks (cs.SI)
  4. Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
    2025/02/20 by Maya Bechler-Speicher, Bechler-Speicher, Maya, Ben Finkelshtein +23 · 5 voices · 13 citations
    Computer Science · #cs.LG #cs.AI #cs.NE
  5. The Machine Learning for Combinatorial Optimization Competition (ML4CO):\n Results and Insights
    2022/03/04 by Maxime Gasse, Quentin Cappart, Gasse, Maxime +81 · 11 citations
    Engineering · #Optimization and Packing Problems #Vehicle Routing Optimization Methods #Maritime Ports and Logistics
  6. Attending to Graph Transformers
    2023/02/08 by Luis T. Díaz Müller, Müller, Luis, Mikhail Galkin +5 · 11 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Graph Theory and Algorithms
  7. Weisfeiler and Leman go Machine Learning: The Story so far
    2021/12/18 by Christopher G. Morris, Yaron Lipman, Morris, Christopher +13 · 9 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  8. MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
    2022/05/27 by Elias B. Khalil, Christopher G. Morris, Khalil, Elias B. +3 · 6 citations
    Computer Science · Engineering · #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC) #Vehicle Routing Optimization Methods
  9. Reconstruction for Powerful Graph Representations
    2021/10/01 by Cotta, Leonardo, Morris, Christopher, Ribeiro, Bruno · 5 citations
    #Artificial Intelligence (cs.AI) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. Probabilistically Rewired Message-Passing Neural Networks
    2023/10/03 by Qian, Chendi, Manolache, Andrei, Ahmed, Kareem +4 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  11. Ordered Subgraph Aggregation Networks
    2022/06/22 by Chendi Qian, Gaurav Rattan, Qian, Chendi +7 · 5 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
  12. Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
    2023/10/16 by Chendi Qian, Didier Chételat, Qian, Chendi +3 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Machine Learning and Algorithms
  13. Deep Graph Matching Consensus
    2020/01/27 by Fey, Matthias, Lenssen, Jan E., Morris, Christopher +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Fine-grained Expressivity of Graph Neural Networks
    2023/06/06 by Jan Böker, Böker, Jan, Ron Levie +7 · 5 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Advanced Graph Neural Networks #Ferroelectric and Negative Capacitance Devices
  15. Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
    2023/10/06 by Beaini, Dominique, Huang, Shenyang, Cunha, Joao Alex +32 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Probabilistic Graph Rewiring via Virtual Nodes
    2024/05/27 by Chendi Qian, Andrei Manolache, Qian, Chendi +5 · 5 citations
    Computer Science · #Energy Efficient Wireless Sensor Networks #Graph Theory and Algorithms #Service-Oriented Architecture and Web Services
  17. WL meet VC
    2023/01/26 by Christopher G. Morris, Floris Geerts, Morris, Christopher +5 · 3 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  18. Weisfeiler and Leman Go Relational
    2022/11/30 by Barcelo, Pablo, Galkin, Mikhail, Morris, Christopher +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  19. Obtaining material identification with cosmic ray radiography
    2012/10/23 by C. L. Morris, K. Borozdin, Morris, Christopher +31 · 1 citation
    Physics and Astronomy · #Astrophysics and Cosmic Phenomena #Dark Matter and Cosmic Phenomena #FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE) #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Nuclear Experiment (nucl-ex) #Particle Detector Development and Performance
  20. Cometh: A continuous-time discrete-state graph diffusion model
    2024/06/10 by Siraudin, Antoine, Malliaros, Fragkiskos D., Morris, Christopher · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Towards Principled Graph Transformers
    2024/01/18 by Müller, Luis, Kusuma, Daniel, Bonet, Blai +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Output-sensitive Complexity of Multiobjective Combinatorial Optimization
    2016/10/23 by Fritz Bökler, Bökler, Fritz, Matthias Ehrgott +5 · 1 citation
    Computer Science · #Advanced Graph Theory Research #Complexity and Algorithms in Graphs #Computational Complexity (cs.CC) #Constraint Satisfaction and Optimization #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC)
  23. The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
    2021/05/12 by Morris, Christopher, Fey, Matthias, Kriege, Nils M. · 1 citation
    #Artificial Intelligence (cs.AI) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  24. SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
    2022/03/25 by Morris, Christopher, Rattan, Gaurav, Kiefer, Sandra +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  25. Survey on Generalization Theory for Graph Neural Networks
    2025/03/19 by Vasileiou, Antonis, Jegelka, Stefanie, Levie, Ron +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. Covered Forest: Fine-grained generalization analysis of graph neural networks
    2024/12/10 by Ben Finkelshtein, Vasileiou, Antonis, Finkelshtein, Ben +6 · 2 citations
    Computer Science · #Neural Networks and Applications #Advanced Graph Neural Networks
  27. Weisfeiler-Leman at the margin: When more expressivity matters
    2024/02/12 by Billy Franks, Christopher G. Morris, Franks, Billy J. +5 · 1 citation
    Computer Science · Engineering · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Ferroelectric and Negative Capacitance Devices
  28. Aligning Transformers with Weisfeiler-Leman
    2024/06/05 by Müller, Luis, Morris, Christopher · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. Towards graph neural networks for provably solving convex optimization problems
    2025/02/04 by Chendi Qian, Christopher G. Morris, Qian, Chendi +1 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)