Matthias Fey
13 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(7)
🏆
Grand Slam
🧬
Topic Evolution
🗃️
Keyword Collector
(53)
💎
Century Club
(13)
🚀
Conference Pioneer
Conferences
NIPS (5)
ICLR (2)
ICML (2)
AAAI (1)
CVPR (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
graph neural network
(7)
node classification
(3)
link prediction
(3)
graph isomorphism
(3)
graph classification
(2)
node representation
(2)
relational datum
(2)
graph representation learning
(2)
weisfeiler-lemann algorithm
(2)
weisfeiler-leman algorithm
(2)
benchmark dataset
(2)
graph embedding
(1)
message passing
(1)
time series forecasting
(1)
predictive modeling
(1)
shape correspondence
(1)
out-of-distribution generalization
(1)
relational database
(1)
permutation equivariance
(1)
feature extraction
(1)
Papers
ContextGNN: Beyond Two-Tower Recommendation Systems
ICLR 2025
RelBench: A Benchmark for Deep Learning on Relational Databases
NIPS 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
NIPS 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
Weisfeiler and Leman go Machine Learning: The Story so far
JMLR 2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
NIPS 2023
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
IJCAI 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
ICML 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs
NIPS 2020
Deep Graph Matching Consensus
ICLR 2020
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
AAAI 2019
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels
CVPR 2018
Group Equivariant Capsule Networks
NIPS 2018