L. Chapel
Graph Learning · 2018
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Graph Learning — 14 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Computational Mechanics — 6 citations into it
Whom L. Chapel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from L. Chapel's perspective
Ordered by how strongly the researchers L. Chapel trusts endorse each paper. Same corpus, a different order for every researcher.
- Graph Kernels
- Shortest-path kernels on graphs
- Weisfeiler-Lehman Graph Kernels
- On Graph Kernels: Hardness Results and Efficient Alternatives
- Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
- Efficient graphlet kernels for large graph comparison
- Wasserstein Generative Adversarial Networks
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- Optimal Transport: Old and New
- Geometric Deep Learning: Going beyond Euclidean data
Their papers
- Optimal Transport for structured data with application on graphs (2018) — 361 citations