D. Roblin

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 D. Roblin trusts

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

  1. Jure Leskovec (in Graph Learning)

Papers from D. Roblin's perspective

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

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

Their papers