Han Gao

Information Systems · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Han Gao trusts

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

  1. Yehuda Koren (in Information Systems)
  2. Jennifer Golbeck (in Information Systems)
  3. Ronald J. Williams (in Reinforcement Learning)

Papers from Han Gao's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Factorization meets the neighborhood: a multifaceted collaborative filtering model
  3. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  4. Item-based collaborative filtering recommendation algorithms
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Graph Attention Networks (International Conference on Learning Representations)
  7. Learning to recommend with social trust ensemble
  8. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  9. A matrix factorization technique with trust propagation for recommendation in social networks
  10. SoRec: social recommendation using probabilistic matrix factorization

Their papers