Top Tweets for #graphMining
📣 Excited to share that “MoltGraph: A Longitudinal Temporal Graph Dataset of Moltbook for Coordinated-Agent Detection” was accepted to the 1st ACM Conference on AI and Agentic Systems!
📄 Paper: https://t.co/hmTBr3C7C7
#AgenticAI #GraphMining #BotDetection #CAIS

"Graph neural networks in TensorFlow" from the TensorFlow Blog 👉https://t.co/CJ8xXPrqav #DataScience #GraphMining #MachineLearning
📢 Our recent survey, "A Survey on Hypergraph Mining: Patterns, Tools, and Generators," with Geon, Fanchen, and @tinaeliassi is now on ArXiv.
Link: https://t.co/ysOYmQ1ZKc
Your feedback is highly appreciated. Please send me an email. #NetworkScience #GraphMining
A very interesting paper by Lutz Oettershagen, @nmkriege, @chrsmrrs and Petra Mutzel on static representations of temporal graphs https://t.co/CI2jVdTKjr .
#GraphML #GraphMining #NetworkScience #MachineLearning
🥳Congratulations are in order for @Stanford
Professor & former KGC keynote speaker Jure Leskovec!
👏@Jure won the #SIGKDD Innovation Award for his contributions to applied #MachineLearning, #GraphMining & #NetworkScience!
📺Watch his KGC Keynote ⬇️:
https://t.co/XErdEPqhQu
🎉 Excited and honored to receive the #SIGKDD Innovation Award for my contributions to #GraphMining, #NetworkScience, and applied #MachineLearning! Looking forward to advancing these fields even further! 🚀 I am grateful for all the amazing students and collaborators. Thank you to all my mentors and everyone who supported me on this journey! 🙌 #KDD2023 @kdd_news

We have an open research internship position on the design of deep GNNs! Please help spread the word!
#GNN #GraphMachineLearning #MachineLearning #GraphMining
An internship position is open to work on Deep Graph Neural Networks at @centralesupelec, @Inria_Saclay, and @telecomparis. The intern will be jointly supervised between @frank8m and myself. Please spread the voice 😄. For further details please see: https://t.co/U8sbztOU8x

ProbGraph, a project led by Maciej Besta, won the Best Paper Award at #SC22. ProbGraph is a graph representation that enables simple and fast approximate parallel #graphmining with strong theoretical guarantees on work, depth, and result accuracy. #HPC
https://t.co/yLmCByfbzL

Best paper award @kdd_news goes to Alibaba team for Federated GNN. Congrats. :)
Interesting to see #GraphML or #GraphMining does not seem to be a primary subject area in the submission form. :D #KDD2022

⚠️ New paper! ⚠️
"Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers" accepted at @VLDBconf
#vldb #graphmining #AcademicTwitter
We have multiple Applied #MachineLearning Scientist openings in our team. Come join us in San Diego and Seattle to work on exciting #GraphMining, #TimeSeries, #NLP and #ComputerVision challenges impacting millions of people across the world: https://t.co/i2GbcCMn5n

Check out @Tanmoy_Chak course on Social Network Analysis.
The course starts today, 25 Jul 2022.
Course webpage: https://t.co/pVdDG9v2tM
Course teaser: https://t.co/5w1dk1e4Ag
#SocialNetworkAnalysis #OSNs #GraphMining
The #deadline for research papers has been extended to June 23. Time to wrap up those awesome papers and submit!
Great ideas, findings and results on social networks analysis are welcome. Please retweet!
@ASONAM_News #ASONAM2022 #socialmedia #datamining
#graphmining #BigData
ASONAM 2022 deadline has been extended to June 23, 2022 11:59 PM American Samoa Zone (UTC-11)! We have technical issues and haven't been able to update the website. Please help us to share a word! #ASONAM2022 @Walid_Magdy @CChelmis
Learning the concept of #cluster and #spanner helps you to better understand your graph. Here is me looking for them in Obsidian.😉 #obsmd #graphmining
Click to learn more about them.😍
📢 Open Assistant Professor position in #AI at @centralesupelec @UnivParisSaclay @Inria_Saclay! Please contact me if you are working in graph mining and learning, and you're interested to apply. #NetworkScience #GraphMining #GNN #AcademicTwitter
🔗https://t.co/6Fz6XOp0ZX
Had a blast virtually giving a talk at the @Vanderbilt_CS
ML Lunch seminar on #tensors for #multiaspect #graphmining
Thanks so much @TylersNetwork and @SKolouri and everyone who attended for hosting and great discussions!
Be sure to join the next Machine Learning Lunch Seminar is this Thursday, February 17th at 12:15 PM with guest speaker Prof. Evangelos (Vagelis) Papalexakis
@vagelispapalex #machinelearning

This evening thinking about this brilliant GraphINVENT Package by @rociomer3 Graph neural networks for molecular design (please check out latest addition of reinforcement learning framework) - https://t.co/vnophRUPcE #ai #ml #datascience #healthcare #drugdiscovery #graphmining
Follow us on LinkedIn to see all of our long-form posts on #AI, #graphdatabases, #graphanalytics and #graphmining: https://t.co/GRwoLHzLVy

Friday night - Though deals acquisition & mergers don’t happen this way right now, this is an interesting way to look at deals through graph mining - Predicting Mergers and Acquisitions using Graph-based Deep Learning - https://t.co/P4SEJTN40n #ml #ai #graphmining #deals @neo4j
Follow us on LinkedIn to see all of our long-form posts on #AI, #graphdatabases, #graphanalytics and #graphmining: https://t.co/aVkTo6DQZg

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