Yan Huang

Graph Learning · with Wang · 2005–2019

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Yan Huang trusts overall

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

1. Karsten M. Borgwardt
2. Zhong Lin Wang
3. B. Sundar
4. Chih-Jen Lin
5. Alex Chortos
6. Benjamin C. K. Tee

Who trusts Yan Huang overall

1. Seounmi Youn

Papers from Yan Huang's perspective

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

1. Convolution kernels on discrete structures
2. LIBSVM: A library for support vector machines
3. Shortest-path kernels on graphs
4. Efficient graphlet kernels for large graph comparison
5. On Graph Kernels: Hardness Results and Efficient Alternatives
6. Weisfeiler-Lehman Graph Kernels
7. Distinguishing enzyme structures from non-enzymes without alignments.
8. Graph Kernels
9. Deep Graph Kernels
10. Scalable kernels for graphs with continuous attributes

Their papers

• RetGK: Graph Kernels based on Return Probabilities of Random Walks (2018) — 120 citations
• In vitro characterization of chitosan-gelatin scaffolds for tissue engineering. (2005) — 623 citations
• A Tale of Two Sources in Native Advertising (2016) — 95 citations
• Emerging Technologies of Flexible Pressure Sensors: Materials, Modeling, Devices, and Manufacturing (2019) — 450 citations