Christopher Morris
26 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (7)
π£
Hot Topic Early Bird
π
Academic Marathon
(7)
π
Triple Crown
π
Grand Slam
π₯
Mega-Team
(34)
π¬
Deep Specialist
(17)
π§¬
Topic Evolution
π
Keyword Champion
(5)
β‘
Prolific Year
(9)
π
Century Club
(26)
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(54)
π
Conference Pioneer
Conferences
ICML (7)
NIPS (7)
IJCAI (4)
ICLR (3)
AAAI (2)
JMLR (2)
AISTATS (1)
Top co-authors
Keywords
graph neural network
(17)
graph isomorphism
(5)
message passing
(5)
combinatorial optimization
(5)
graph classification
(5)
expressive power
(3)
weisfeiler-lehman algorithm
(3)
node classification
(3)
weisfeiler-leman algorithm
(3)
representation learning
(2)
graph kernel
(2)
permutation equivariance
(2)
mixed-integer programming
(2)
relational datum
(2)
weisfeiler-lemann algorithm
(2)
linear programming
(1)
hierarchical representation
(1)
vc dimension
(1)
warm starting
(1)
generalization bound
(1)
Papers
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
ICML 2025
Covered Forest: Fine-grained generalization analysis of graph neural networks
ICML 2025
Aligning Transformers with Weisfeiler-Leman
ICML 2024
Probabilistic Graph Rewiring via Virtual Nodes
NIPS 2024
Towards Principled Graph Transformers
NIPS 2024
Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization
IJCAI 2024
Weisfeiler-Leman at the margin: When more expressivity matters
ICML 2024
Position: Future Directions in the Theory of Graph Machine Learning
ICML 2024
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
AISTATS 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
ICLR 2024
Probabilistically Rewired Message-Passing Neural Networks
ICLR 2024
Weisfeiler and Leman go Machine Learning: The Story so far
JMLR 2023
Combinatorial Optimization and Reasoning with Graph Neural Networks
JMLR 2023
WL meet VC
ICML 2023
Fine-grained Expressivity of Graph Neural Networks
NIPS 2023
SpeqNets: Sparsity-aware permutation-equivariant graph networks
ICML 2022
Ordered Subgraph Aggregation Networks
NIPS 2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
AAAI 2022
Combinatorial Optimization and Reasoning with Graph Neural Networks
IJCAI 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
IJCAI 2021
Reconstruction for Powerful Graph Representations
NIPS 2021
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
NIPS 2020
Deep Graph Matching Consensus
ICLR 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
NIPS 2018