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ORCIDMatthias Fey
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2020 – today
- 2024
[c13]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. ICML 2024- [c12]Keren Zhou
, Karthik Ganapathi Subramanian, Po-Hsun Lin, Matthias Fey, Binqian Yin, Jiajia Li:
FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks. ICS 2024: 511-524 - [i19]Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey:
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. CoRR abs/2404.00776 (2024) - [i18]Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying:
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR abs/2404.01340 (2024) - [i17]Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec:
RelBench: A Benchmark for Deep Learning on Relational Databases. CoRR abs/2407.20060 (2024) - 2023
- [j2]Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt:
Weisfeiler and Leman go Machine Learning: The Story so far. J. Mach. Learn. Res. 24: 333:1-333:59 (2023) - [c11]Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. NeurIPS 2023 - [i16]Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR abs/2307.01026 (2023) - [i15]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR abs/2312.04615 (2023) - 2022
- [b1]Matthias Fey:
On the power of message passing for learning on graph-structured data. Technical University of Dortmund, Germany, 2022 - [p2]Matthias Fey, Frank Weichert:
Deep Graph Representation Learning. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 129-143 - [p1]Matthias Fey:
Expressives und Effizientes Deep Learning auf Graph-Strukturierten Daten. Ausgezeichnete Informatikdissertationen 2022: 41-50 - 2021
- [c10]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec:
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. ICML 2021: 3294-3304 - [c9]Christopher Morris, Matthias Fey, Nils M. Kriege:
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. IJCAI 2021: 4543-4550 - [c8]Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec:
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. NeurIPS Datasets and Benchmarks 2021 - [i14]Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec:
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. CoRR abs/2103.09430 (2021) - [i13]Christopher Morris, Matthias Fey, Nils M. Kriege:
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. CoRR abs/2105.05911 (2021) - [i12]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec:
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. CoRR abs/2106.05609 (2021) - [i11]Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt:
Weisfeiler and Leman go Machine Learning: The Story so far. CoRR abs/2112.09992 (2021) - 2020
- [c7]Marian Kleineberg, Matthias Fey, Frank Weichert:
Adversarial Generation of Continuous Implicit Shape Representations. Eurographics (Short Papers) 2020: 41-44 - [c6]Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. ICLR 2020 - [c5]Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec:
Open Graph Benchmark: Datasets for Machine Learning on Graphs. NeurIPS 2020 - [i10]Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. CoRR abs/2001.09621 (2020) - [i9]Marian Kleineberg, Matthias Fey, Frank Weichert:
Adversarial Generation of Continuous Implicit Shape Representations. CoRR abs/2002.00349 (2020) - [i8]Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec:
Open Graph Benchmark: Datasets for Machine Learning on Graphs. CoRR abs/2005.00687 (2020) - [i7]Matthias Fey, Jan-Gin Yuen, Frank Weichert:
Hierarchical Inter-Message Passing for Learning on Molecular Graphs. CoRR abs/2006.12179 (2020)
2010 – 2019
- 2019
- [c4]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. AAAI 2019: 4602-4609 - [i6]Matthias Fey, Jan Eric Lenssen:
Fast Graph Representation Learning with PyTorch Geometric. CoRR abs/1903.02428 (2019) - [i5]Matthias Fey:
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks. CoRR abs/1904.04849 (2019) - 2018
- [c3]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller:
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels. CVPR 2018: 869-877 - [c2]Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski:
Group Equivariant Capsule Networks. NeurIPS 2018: 8858-8867 - [c1]Nils M. Kriege, Matthias Fey, Denis Fisseler, Petra Mutzel, Frank Weichert:
Recognizing Cuneiform Signs Using Graph Based Methods. COST@SDM 2018: 31-44 - [i4]Nils M. Kriege, Matthias Fey, Denis Fisseler, Petra Mutzel, Frank Weichert:
Recognizing Cuneiform Signs Using Graph Based Methods. CoRR abs/1802.05908 (2018) - [i3]Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski:
Group Equivariant Capsule Networks. CoRR abs/1806.05086 (2018) - [i2]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. CoRR abs/1810.02244 (2018) - 2017
- [i1]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller:
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels. CoRR abs/1711.08920 (2017) - 2016
- [j1]Christian Eichhorn, Matthias Fey, Gabriele Kern-Isberner:
CP- and OCF-networks - a comparison. Fuzzy Sets Syst. 298: 109-127 (2016)
Coauthor Index
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