
Cheick Ba
@cheickba7
Research Assistant @ Queen Mary University London (Prev: UNIMI).
Topics: temporal multilayer networks, machine learning, Web3.
ID: 1451715374244892677
https://back7.github.io/ 23-10-2021 01:02:28
104 Tweet
136 Followers
257 Following

🚀 Exciting news! The speaker lineup for our #ComplexTime workshop at the Conference on Complex Systems is live! 🌟 We’re thrilled to have 2 invited talks by Carolina Mattsson and @narnolddd and showcase 4 cutting-edge contributions. Join us on September 2nd in the afternoon #CCS2024



📢Exciting news! The speaker lineup for our #SDCS workshop at the Conference on Complex Systems is online! ✨ We’re thrilled to have 3 invited talks by Ingo Scholtes, Maxime Lucas and Ben Steer and showcase advanced software for analyzing networks. Join us on September 3rd in the afternoon #CCS2024




Presenting 'Mining, Modeling and Analysing Decentralised Social Media' tutorial at #ASONAM24 with Lucio La Cava - @[email protected] was so fun! I focused on Mining the Web3 through Graph Evolution Rules, introducing GERANIO - a framework to apply GERs, take a look here: tinyurl.com/yvjsc2ma






📢 Call for Papers: "Network Science meets AI" special session at #ESANN2025! We are happy to announce this special session in collaboration with Ingo Scholtes Roberto Interdonato Fragkiskos Malliaros 🚨Submit your 6-page paper by Nov 20, 2024. Website: tinyurl.com/2djhjnwh




📢If you’re interested in Temporal Networks, consider joining the TENET satellite NetSci 2025 in Maastricht!🔎We accept one-page abstracts concerning all aspects of temporal network theory, as well as real-world applications. 📅Deadline: February 7 info 👉🏻 tinyurl.com/27ntstep


