Matthias Fey
TU Dortmund University(DE)
Publications by Year
Research Areas
Advanced Graph Neural Networks, Graph Theory and Algorithms, Complex Network Analysis Techniques, Bayesian Modeling and Causal Inference, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Fast Graph Representation Learning with PyTorch Geometric(2019)1,259 cited
- → Open Graph Benchmark: Datasets for Machine Learning on Graphs(2020)491 cited
- → SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels(2018)448 cited
- → Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks(2019)139 cited
- → OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs(2021)120 cited
- → Deconvolution of 1D NMR spectra: A deep learning-based approach(2022)74 cited
- → Group Equivariant Capsule Networks(2018)71 cited
- → Deep Graph Matching Consensus(2020)56 cited
- → Hierarchical Inter-Message Passing for Learning on Molecular Graphs(2020)34 cited