Lixiang Hong

Computational Theory and Mathematics · 2018

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

• Computational Theory and Mathematics — 20 citations into it
• Molecular Biology — 20 citations into it

Whom Lixiang Hong trusts overall

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

1. Temple F. Smith
2. Nagarajan Natarajan
3. Teague Sterling
4. Bryan Perozzi
5. Tomas Mikolov
6. Xiaodong Zheng

Papers from Lixiang Hong's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
3. DeepWalk: online learning of social representations
4. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
5. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
6. Supervised prediction of drug–target interactions using bipartite local models (Bioinform.)
7. ImageNet classification with deep convolutional neural networks
8. Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces (BMC Systems Biology)
9. Relating protein pharmacology by ligand chemistry
10. Long Short-Term Memory

Their papers

• NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions (2018) — 332 citations