Scientific Publications
2023
N.
Piatkowski,
K.
Morik,
N.
Kriege,
C.
Morris,
M.
Fey,
F.
Weichert,
N.
Bertram,
J.
Ellert,
J.
Fischer and
L.
Pfahler,
"Structured Data"
in Machine Learning under Resource Constraints - Fundamentals,
De Gruyter,
2023,
pp. 99--178.
 doi:10.1515/9783110785944-004 |
2021
M.
Fey,
J. E.
Lenssen,
F.
Weichert and
J.
Leskovec,
"GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings"
,
International Conference on Machine Learning (ICML),
2021.
 Link |
2020
M.
Kleineberg,
M.
Fey and
F.
Weichert,
"Adversarial Generation of Continuous Implicit Shape Representations"
in Eurographics,
2020.
 PDF | Link |
M.
Fey,
J.
Yuen and
F.
Weichert,
"Hierarchical Inter-Message Passing for Learning on Molecular Graphs"
in ICML Graph Representation Learning and Beyond (GRL+),
2020.
| PDF | Link |
2019
M.
Fey and
J. E.
Lenssen,
"Fast Graph Representation Learning with PyTorch Geometric"
in ICLR Workshop on Representation Learning on Graphs and Manifolds,
2019.
 File |
C.
Morris,
M.
Ritzert,
M.
Fey,
W. L.
Hamilton,
J. E.
Lenssen,
G.
Rattan and
M.
Grohe,
"Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"
in 33rd AAAI Conference on Artificial Intelligence (AAAI-19),
2019.
| File |
2018
J. E.
Lenssen,
M.
Fey and
P.
Libuschewski,
"Group Equivariant Capsule Networks"
in Neural Information Processing Systems (NIPS) 32,
2018.
| File |
N.
Kriege,
M.
Fey,
D.
Fisseler,
P.
Mutzel and
F.
Weichert,
"Recognizing Cuneiform Signs Using Graph Based Methods"
in International Workshop on Cost-Sensitive Learning (COST),
2018.
| File |
M.
Fey,
J. E.
Lenssen,
F.
Weichert and
H.
Müller,
"SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels"
in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2018.
pp. 869-877.
| File |
1991
H.
Müller,
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S.
Grzybek,
M.
Otte,
B.
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F.
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Springer-Verlag,
1991,
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