Top Tweets for #GraphMining
๐ฃ Excited to share that โMoltGraph: A Longitudinal Temporal Graph Dataset of Moltbook for Coordinated-Agent Detectionโ was accepted to the 1st ACM Conference on AI and Agentic Systems!
๐ Paper: https://t.co/hmTBr3C7C7
#AgenticAI #GraphMining #BotDetection #CAIS
๐ New #SpecialIssue "Recent Advances and Emerging Applications in Graph Data Mining (GDM)", edited by Dr. Li Sun.
Deadline is: 31 January 2027. Submissions are welcome until deadline!
https://t.co/7cu4aJ8JxI
#GraphDataMining #GraphMining #GraphAlgorithms
@ComSciMath_Mdpi
๐๐ Cross-Modal #FeatureRepresentation Learning and Label #GraphMining in a Residual Multi-Attentional #CNN-#LSTM Network for Multi-Label #Aerial #SceneClassification
โ๏ธ Peng Li et al.
๐ https://t.co/TfN0oblwyE
Our latest research titled "Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach" has been accepted and published by the International Journal of Web Research (IJWR).
https://t.co/ZJEGBU2qsk
#DataScience #GraphMining
Google AI Team Introduces TeraHAC Algorithm and Exhibits Remarkable Quality and Scalability on Graphs of Up To 8 Trillion Edges
#AI #AItechnology #artificialintelligence #clustering #Google #GraphMining #llm #machinelearning #massivedatasets
https://t.co/QyEEj2jog7
๐ข Exciting new blog post alert! Learn about MuseGraph: a groundbreaking framework that seamlessly integrates Graph Neural Networks and Large Language Models for effective and generic graph mining. Check out the post at: https://t.co/X6UksK3cCl. #graphmining #GNN #LLMs
"Graph neural networks in TensorFlow" from the TensorFlow Blog ๐https://t.co/CJ8xXPrqav #DataScience #GraphMining #MachineLearning
Graph neural networks in TensorFlow #GraphMining #Graphs #MachineLearning #TensorFlow. Follow us to stay up-to-date daily news.
https://t.co/7mQNcrO4jE
๐ข 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
Maciej presented at @NextSilicon GraphMineSuite (https://t.co/25ZzpvvHPN) and other designs in our set-centric paradigm for scalable, high-performance, and productive #GraphMining (ProbGraph, Set-Centric ISA).
๐ #MDPIfutureinternet [New Published Papers in 2023]
Title: A Graph DB-Based Solution for Semantic Technologies in the Future Internet
https://t.co/FlKKLiJik4
#graphdatabases #KnowledgeGraphs #SemanticWeb #graphmining #networkanalysis #knowledgeexploration
@ComSciMath_Mdpi
![FutureInternet6's tweet photo. ๐ #MDPIfutureinternet [New Published Papers in 2023]
Title: A Graph DB-Based Solution for Semantic Technologies in the Future Internet
https://t.co/FlKKLiJik4
#graphdatabases #KnowledgeGraphs #SemanticWeb #graphmining #networkanalysis #knowledgeexploration
@ComSciMath_Mdpi https://t.co/YhqVdlG0QT](https://pbs.twimg.com/media/F9MDaI6agAAHSmC.png)
Huge congratulations to ๐๐๐ฟ๐ฒ ๐๐ฒ๐๐ธ๐ผ๐๐ฒ๐ฐ, co-founder of ASEF, for being honored with the prestigious ๐ฆ๐๐๐๐๐ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป ๐๐๐ฎ๐ฟ๐ฑ ๐๐ due to his exceptional contributions to the field of #GraphMining , #NetworkScience and applied #Machinelearning.
RT kduttnk RT In_Phy_T RT @Claudio__Moroni: Useful paper from @Abel0828, @jure, @PanLi90769257 et al. on representation learning of temporal graphs via Causal Anonymous Walks:
https://t.co/O5Ua0rRAse
#GraphML #GraphMining #NetworkScience #MachineLeaโฆ https://t.co/O5Ua0rRAse
RT In_Phy_T RT @Claudio__Moroni: Useful paper from @Abel0828, @jure, @PanLi90769257 et al. on representation learning of temporal graphs via Causal Anonymous Walks:
https://t.co/O5Ua0rRAse
#GraphML #GraphMining #NetworkScience #MachineLearning https://t.co/O5Ua0rRAse
Useful paper from @Abel0828, @jure, @PanLi90769257 et al. on representation learning of temporal graphs via Causal Anonymous Walks:
https://t.co/sOFtceT9x3
#GraphML #GraphMining #NetworkScience #MachineLearning
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
RT IKelvisar RT @jure: ๐ 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! ๐ I am grateful for all โฆ https://t.co/2240Cn0uOT
๐ฅณCongratulations are in order for @Stanford
Professor & former KGC keynote speaker Jure Leskovec!
๐@Jure won the #SIGKDD Innovation Award for his contributions to applied #MachineLearning, #GraphMining & #NetworkScience!
๐บWatch his KGC Keynote โฌ๏ธ:
https://t.co/XErdEPqhQu
RT jnkka RT @jure: ๐ 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! ๐ I am grateful for all the โฆ https://t.co/2240Cn0uOT
๐ 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! ๐ I am grateful for all the amazing students and collaborators. Thank you to all my mentors and everyone who supported me on this journey! ๐ #KDD2023 @kdd_news
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