Matthias Fey
13 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· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
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Grand Slam
π
Renaissance Researcher
(5)
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(63)
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(11)
Deep Learning
(10)
Architectures
(10)
Application Areas
(5)
Data Science & Analytics
(4)
Methods
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Applications
(2)
Learning Types
(2)
Mathematics
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Keywords
graph neural network
(10)
link prediction
(4)
graph isomorphism
(3)
node classification
(3)
benchmark dataset
(2)
message passing
(2)
graph representation learning
(2)
weisfeiler-leman algorithm
(2)
weisfeiler-lemann algorithm
(2)
feature engineering
(2)
relational database
(2)
node representation
(2)
relational data
(2)
graph classification
(2)
graph embedding
(1)
predictive modeling
(1)
out-of-distribution generalization
(1)
graph matching
(1)
permutation equivariance
(1)
node embedding
(1)
Papers
ContextGNN: Beyond Two-Tower Recommendation Systems
ICLR 2025
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
NeurIPS 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NeurIPS 2024
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
NeurIPS 2023
Weisfeiler and Leman go Machine Learning: The Story so far
JMLR 2023
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
ICML 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
IJCAI 2021
Deep Graph Matching Consensus
ICLR 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
NeurIPS 2020
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
AAAI 2019
Group Equivariant Capsule Networks
NeurIPS 2018
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels
CVPR 2018