Agnieszka Słowik

Artificial Intelligence · 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 Agnieszka Słowik trusts

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

  1. Yoon Kim (in Artificial Intelligence)

Papers from Agnieszka Słowik's perspective

Ordered by how strongly the researchers Agnieszka Słowik 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. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  4. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  5. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  6. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  7. A new model for learning in graph domains
  8. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
  9. Graph Attention Networks (International Conference on Learning Representations)
  10. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)

Their papers