Martin Ritzert

Graph Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 29 citations into it; #507 of 693 by trust here, #264 by citations
• Artificial Intelligence — 24 citations into it
• Computational Theory and Mathematics — 10 citations into it

Whom Martin Ritzert trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. William L. Hamilton
2. Rex Ying
3. Martin Grohe
4. Nino Shervashidze
5. Thomas Kipf
6. Christopher Morris
7. Jure Leskovec
8. Max Welling
9. Pascal Schweitzer
10. S. V. N. Vishwanathan

Who trusts Martin Ritzert overall

1. Zhengdao Chen
2. Matthias Fey
3. William L. Hamilton
4. Vijay Prakash Dwivedi
5. Andreas Loukas
6. Jerret Ross
7. Cristian Bodnar
8. Christopher Morris
9. Johannes Klicpera
10. Jiaxuan You

Papers from Martin Ritzert's perspective

Ordered by how strongly the researchers Martin Ritzert trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. The Graph Neural Network Model

Their papers

• Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks (2018) — 2,039 citations