Siqiang Luo

Statistical and Nonlinear Physics · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 16 citations into it
• Computer Networks and Communications — 9 citations into it
• Graph Learning — 9 citations into it

Whom Siqiang Luo trusts overall

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

1. Santo Fortunato
2. Mark Newman
3. Mauro Sozio

Papers from Siqiang Luo's perspective

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

1. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
2. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
3. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
4. Spectral Networks and Locally Connected Networks on Graphs
5. Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
6. Network structure and minimum degree
7. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing (International Conference on Machine Learning)
8. Graph Clustering Based on Structural/Attribute Similarities (Proceedings of the VLDB Endowment)
9. Joint latent topic models for text and citations (Knowledge Discovery and Data Mining)
10. Birds of a Feather: Homophily in Social Networks

Their papers

• Finding Global Homophily in Graph Neural Networks When Meeting Heterophily (2022) — 296 citations
• Effective Community Search for Large Attributed Graphs (2016) — 311 citations