Robot | Path | Permission |
GoogleBot | / | ✔ |
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Title | Johannes Lutzeyer -- Personal |
Description | Johannes Lutzeyer an Assistant Professor at École Polytechnique working on Graph Representation Learning with a focus on Graph Neural |
Keywords | Graph Neural Networks, Graph Representation Learning, Graph Shift Operators, Johannes Lutzeyer |
WebSite | johanneslutzeyer.com |
Host IP | 185.199.110.153 |
Location | - |
Site | Rank |
US$955
Last updated: 2023-05-18 20:55:58
johanneslutzeyer.com has Semrush global rank of 0. johanneslutzeyer.com has an estimated worth of US$ 955, based on its estimated Ads revenue. johanneslutzeyer.com receives approximately 110 unique visitors each day. Its web server is located in -, with IP address 185.199.110.153. According to SiteAdvisor, johanneslutzeyer.com is safe to visit. |
Purchase/Sale Value | US$955 |
Daily Ads Revenue | US$0 |
Monthly Ads Revenue | US$26 |
Yearly Ads Revenue | US$317 |
Daily Unique Visitors | 7 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
johanneslutzeyer.com. | A | 3600 | IP: 185.199.110.153 |
johanneslutzeyer.com. | A | 3600 | IP: 185.199.108.153 |
johanneslutzeyer.com. | A | 3600 | IP: 185.199.109.153 |
johanneslutzeyer.com. | A | 3600 | IP: 185.199.111.153 |
johanneslutzeyer.com. | NS | 21600 | NS Record: ns-cloud-d4.googledomains.com. |
johanneslutzeyer.com. | NS | 21600 | NS Record: ns-cloud-d2.googledomains.com. |
johanneslutzeyer.com. | NS | 21600 | NS Record: ns-cloud-d3.googledomains.com. |
johanneslutzeyer.com. | NS | 21600 | NS Record: ns-cloud-d1.googledomains.com. |
Johannes Lutzeyer GoogleScholar LinkedIn Twitter johannes [dot] lutzeyer [at] polytechnique [dot] edu I am Johannes Lutzeyer an Assistant Professor in the Data Science and Mining Team at the Laboratoire d’Informatique of École Polytechnique in France. Previously, I completed a 2.5 year postdoc, under the supervision of Prof. Michalis Vazirgiannis , at École Polytechnique and a PhD thesis on the spectral properties of the adjacency and Laplacian matrices under the supervision of Prof. Andrew Walden at Imperial College London. My current research focuses on Graph Neural Networks and Spectral Properties of Graph Shift Operator Matrices. As such, I work in the area of Graph Representation Learning in the intersection of Statistics and Computer Science. My academic CV can be accessed here . News May 2023 : We invite applications for two Postdoctoral Reseacher/Research Engineer Positions on “Multimodal Graph Generative Models” and “Graph Representation Learning with Biomedical Applications” |
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