Christopher Morris
26 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(23)
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Mega-Team Β· Squad
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Keyword Champion
(5)
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Grand Slam
π§¬
Topic Evolution
π
Triple Crown
π
Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(87)
Top co-authors
Research topics
Deep Learning
(24)
Machine Learning
(23)
Architectures
(23)
Core Methods
(14)
Mathematics & Optimization
(9)
Optimization & Theory Β· Machine Learning
(7)
Optimization
(6)
Application Areas
(5)
Techniques
(4)
Artificial Intelligence
(3)
Learning Types
(3)
Mathematics
(3)
Knowledge & Reasoning
(2)
Core AI
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
graph neural network
(21)
message passing
(8)
graph isomorphism
(6)
expressive power
(5)
combinatorial optimization
(5)
graph classification
(5)
weisfeiler-leman algorithm
(3)
weisfeiler-lehman algorithm
(3)
generalization
(3)
node classification
(3)
weisfeiler leman
(2)
representation learning
(2)
weisfeiler-lemann algorithm
(2)
permutation equivariance
(2)
relational data
(2)
mixed integer programming
(2)
graph kernel
(2)
graph representation
(1)
warm starting
(1)
transformer
(1)
Papers
Covered Forest: Fine-grained generalization analysis of graph neural networks
ICML 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
ICML 2025
Aligning Transformers with Weisfeiler-Leman
ICML 2024
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
AISTATS 2024
Position: Future Directions in the Theory of Graph Machine Learning
ICML 2024
Probabilistically Rewired Message-Passing Neural Networks
ICLR 2024
Probabilistic Graph Rewiring via Virtual Nodes
NeurIPS 2024
Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization
IJCAI 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
ICLR 2024
Towards Principled Graph Transformers
NeurIPS 2024
Weisfeiler-Leman at the margin: When more expressivity matters
ICML 2024
Combinatorial Optimization and Reasoning with Graph Neural Networks
JMLR 2023
Fine-grained Expressivity of Graph Neural Networks
NeurIPS 2023
Weisfeiler and Leman go Machine Learning: The Story so far
JMLR 2023
WL meet VC
ICML 2023
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
AAAI 2022
Ordered Subgraph Aggregation Networks
NeurIPS 2022
SpeqNets: Sparsity-aware permutation-equivariant graph networks
ICML 2022
Combinatorial Optimization and Reasoning with Graph Neural Networks
IJCAI 2021
Reconstruction for Powerful Graph Representations
NeurIPS 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
IJCAI 2021
Deep Graph Matching Consensus
ICLR 2020
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
NeurIPS 2020
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
AAAI 2019
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
IJCAI 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
NeurIPS 2018