Tom Robinson

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Robinson trusts

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

  1. Radford M. Neal (in Computer Vision and Pattern Recognition)

Papers from Tom Robinson's perspective

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

  1. Gated Graph Sequence Neural Networks
  2. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  3. Spectral Networks and Locally Connected Networks on Graphs
  4. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  5. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  6. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
  7. Pattern Recognition and Machine Learning
  8. Independent consultant
  9. Graph Convolutional Neural Networks for Web-Scale Recommender Systems (Knowledge Discovery and Data Mining)
  10. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Their papers