Matthias Fey

46 papers A* 12A 1Journal 26Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — ch.
Let's Talk AI with AI Expert Matthias Fey.
Let's Talk AI
Matthias Fey, Barbara Steffen
2026 J jnl
Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases.
CoRR
Vid Kocijan, Jinu Sunil, Jan Eric Lenssen, Viman Deb, Xinwei Xe, Federico Reyes Gomez, Matthias Fey, Jure Leskovec
2025 A* conf
ContextGNN: Beyond Two-Tower Recommendation Systems.
ICLR
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaz Stojanovic, Shenyang Huang, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
2025 J jnl
PyG 2.0: Scalable Learning on Real World Graphs.
CoRR
Matthias Fey, Jinu Sunil, Akihiro Nitta, Rishi Puri, Manan Shah, Blaz Stojanovic, Ramona Bendias, Alexandria Barghi, Vid Kocijan, Zecheng Zhang, Xinwei He, Jan Eric Lenssen, Jure Leskovec
2025 J jnl
Relational Graph Transformer.
CoRR
Vijay Prakash Dwivedi, Sri Jaladi, Yangyi Shen, Federico López, Charilaos I. Kanatsoulis, Rishi Puri, Matthias Fey, Jure Leskovec
2025 J jnl
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs.
CoRR
Jacob Chmura, Shenyang Huang, Tran Gia Bao Ngo, Ali Parviz, Farimah Poursafaei, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Matthias Fey, Reihaneh Rabbany
2024 J jnl
ContextGNN: Beyond Two-Tower Recommendation Systems.
CoRR
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Dong Wang, Manan Shah, Shenyang Huang, Blaz Stojanovic, Alan Krumholz, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
2024 A conf
FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks.
ICS
Keren Zhou, Karthik Ganapathi Subramanian, Po-Hsun Lin, Matthias Fey, Binqian Yin, Jiajia Li
2024 A* conf
From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
NeurIPS
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
2024 J jnl
From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
CoRR
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
2024 A* conf
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases.
ICML
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
2024 J jnl
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning.
CoRR
Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey
2024 A* conf
RelBench: A Benchmark for Deep Learning on Relational Databases.
NeurIPS
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
2024 J jnl
RelBench: A Benchmark for Deep Learning on Relational Databases.
CoRR
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
2023 J jnl
Relational Deep Learning: Graph Representation Learning on Relational Databases.
CoRR
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
2023 A* conf
Temporal Graph Benchmark for Machine Learning on Temporal Graphs.
NeurIPS
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
2023 J jnl
Temporal Graph Benchmark for Machine Learning on Temporal Graphs.
CoRR
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
2023 J jnl
Weisfeiler and Leman go Machine Learning: The Story so far.
J. Mach. Learn. Res.
Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt
2022 — ch.
Deep Graph Representation Learning.
Mach. Learn. under Resour. Constraints Vol. 1 (1)
Matthias Fey, Frank Weichert
2022 — ch.
Expressives und Effizientes Deep Learning auf Graph-Strukturierten Daten.
Ausgezeichnete Informatikdissertationen
Matthias Fey
2022 — —
On the power of message passing for learning on graph-structured data.
Matthias Fey
2021 A* conf
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings.
ICML
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec
2021 J jnl
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings.
CoRR
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec
2021 — conf
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.
NeurIPS Datasets and Benchmarks
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
2021 J jnl
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.
CoRR
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
2021 A* conf
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs.
IJCAI
Christopher Morris, Matthias Fey, Nils M. Kriege
2021 J jnl
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs.
CoRR
Christopher Morris, Matthias Fey, Nils M. Kriege
2021 J jnl
Weisfeiler and Leman go Machine Learning: The Story so far.
CoRR
Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt
2020 — conf
Adversarial Generation of Continuous Implicit Shape Representations.
Eurographics (Short Papers)
Marian Kleineberg, Matthias Fey, Frank Weichert
2020 J jnl
Adversarial Generation of Continuous Implicit Shape Representations.
CoRR
Marian Kleineberg, Matthias Fey, Frank Weichert
2020 A* conf
Deep Graph Matching Consensus.
ICLR
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
2020 J jnl
Deep Graph Matching Consensus.
CoRR
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
2020 J jnl
Hierarchical Inter-Message Passing for Learning on Molecular Graphs.
CoRR
Matthias Fey, Jan-Gin Yuen, Frank Weichert
2020 A* conf
Open Graph Benchmark: Datasets for Machine Learning on Graphs.
NeurIPS
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec
2020 J jnl
Open Graph Benchmark: Datasets for Machine Learning on Graphs.
CoRR
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec
2019 J jnl
Fast Graph Representation Learning with PyTorch Geometric.
CoRR
Matthias Fey, Jan Eric Lenssen
2019 J jnl
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks.
CoRR
Matthias Fey
2019 A* conf
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks.
AAAI
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
2018 A* conf
Group Equivariant Capsule Networks.
NeurIPS
Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski
2018 J jnl
Group Equivariant Capsule Networks.
CoRR
Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski
2018 — conf
Recognizing Cuneiform Signs Using Graph Based Methods.
COST@SDM
Nils M. Kriege, Matthias Fey, Denis Fisseler, Petra Mutzel, Frank Weichert
2018 J jnl
Recognizing Cuneiform Signs Using Graph Based Methods.
CoRR
Nils M. Kriege, Matthias Fey, Denis Fisseler, Petra Mutzel, Frank Weichert
2018 A* conf
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels.
CVPR
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller
2018 J jnl
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks.
CoRR
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
2017 J jnl
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels.
CoRR
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller
2016 J jnl
CP- and OCF-networks - a comparison.
Fuzzy Sets Syst.
Christian Eichhorn, Matthias Fey, Gabriele Kern-Isberner