Martin Grohe

Graph Learning · 2003–2018

A researcher in the Science corpus: 10 papers; trusts 20 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Grohe trusts overall

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

  1. Jin-Yi Cai
  2. Leonid Libkin
  3. László Babai
  4. Martin Fürer
  5. Bojan Mohar
  6. Bruno Courcelle
  7. Neil Immerman
  8. Gary L. Miller
  9. Uwe Schöning
  10. Jose Manuel Camacho Rodriguez

Who trusts Martin Grohe overall

  1. Christopher Morris
  2. Petra Mutzel
  3. Haggai Maron
  4. Gaurav Rattan
  5. Hans L. Bodlaender
  6. Dexter Campbell Kozen
  7. Heli Ben-Hamu
  8. Daniel Lokshtanov
  9. Jiong Guo
  10. Dimitrios M. Thilikos

Papers from Martin Grohe's perspective

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

  1. Random Graph Isomorphism
  2. The Graph Neural Network Model
  3. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  4. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  5. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  6. Canonical labeling of graphs
  7. ImageNet classification with deep convolutional neural networks
  8. An optimal lower bound on the number of variables for graph identification
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Efficient graphlet kernels for large graph comparison

Their papers