Jake P. Taylor-King

Artificial Intelligence · 2021

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 Jake P. Taylor-King trusts

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

  1. Jure Leskovec (in Graph Learning)

Papers from Jake P. Taylor-King's perspective

Ordered by how strongly the researchers Jake P. Taylor-King trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  3. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  4. Graph Attention Networks (International Conference on Learning Representations)
  5. Efficient Estimation of Word Representations in Vector Space
  6. How Powerful are Graph Neural Networks?
  7. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
  8. Hierarchical Graph Representation Learning with Differentiable Pooling
  9. Weisfeiler-Lehman Graph Kernels
  10. Translating Embeddings for Modeling Multi-relational Data

Their papers