Mianzhi Wang

Graph Learning · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 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 — 7 citations into it
• Signal Processing — 6 citations into it; #5,171 of 7,572 by trust here, #7,324 by citations

Whom Mianzhi Wang trusts overall

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

1. Piya Pal
2. P. Vaidyanathan
3. Chun-Lin Liu
4. Karsten M. Borgwardt
5. Chih-Jen Lin
6. Nino Shervashidze
7. S. V. N. Vishwanathan
8. Ali Rahimi
9. Nils M. Kriege
10. Saurabh Verma

Who trusts Mianzhi Wang overall

1. Georgios K. Papageorgiou
2. Mathini Sellathurai
3. Yonina C. Eldar

Papers from Mianzhi Wang's perspective

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

1. LIBSVM: A library for support vector machines
2. Convolution kernels on discrete structures
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. Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom (IEEE Transactions on Signal Processing)
10. Deep Graph Kernels

Their papers

• RetGK: Graph Kernels based on Return Probabilities of Random Walks (2018) — 120 citations
• Coarrays, MUSIC, and the Cramér–Rao Bound (2016) — 349 citations