Lukasz Maziarka

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lukasz Maziarka trusts

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

  1. Yoon Kim (in Artificial Intelligence)

Papers from Lukasz Maziarka's perspective

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

  1. Gated Graph Sequence Neural Networks
  2. The Graph Neural Network Model
  3. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  4. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  5. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  6. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
  7. A new model for learning in graph domains
  8. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
  9. Graph Attention Networks (International Conference on Learning Representations)
  10. Molecular graph convolutions: moving beyond fingerprints

Their papers