#graphmining search results
🎉 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…
Spectral counting of triangles in networks and related patterns #NetworkScience #GraphMining #GraphTheory
Our work with @kskianis and @mvazirg on graph-based text categorization, received the best paper award at the @NAACLHLT 2018 TextGraphs workshop! #NLProc #MachineLearning #GraphMining @centralesupelec
Super excited to participate in the 2020 Summer School on #DataAnalysis, at my alma mater ECE Dept. at Technical University of Crete, talking about #tensors for #graphmining #gravitationalwaves and #adversarialML and wishing my beloved department happy 30th birthday!
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
Super exciting keynotes at @mlgworkshop this year from @CMUDB, @USC_ISI, @amazon, @googleresearch, @UICEngineering, and @turinginst cc: @kdd_news #kdd2018 #GraphMining #NetworkScience #DataScience #MachineLeaning mlgworkshop.org/2018/#keynote
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: amazon.jobs/en/jobs/186793…
Are you interested in #GraphMining #Optimization #MachineLearning with applications in #Bioinformatics? Internship position available @centralesupelec, @inria, @UnivParisSaclay and @IFPENinnovation with potential enrollment to #PhD subsequently More info: goo.gl/tk3Muz
Today at MICRO'21, Maciej is presenting a part of our recent insights and results into high-performance graph mining. Check the paper yourself: arxiv.org/pdf/2104.07582… #datamining #graphmining #pim #processinginmemory #graphaccelerator #architecture #networks @thoefler @CSatETH
Intervention de @seb_loustau au séminaire @univamu à #Marseille Saint Charles 14h au menu #onlinelearning #graphmining @NetworkFact
Happy to see that our #PhysicsReports article on clustering and community detection in directed networks with Michalis Vazirgiannis @mvazirg (Dec. 2013), is among the most cited articles of the journal published since 2012! #GraphMining #NetworkScience journals.elsevier.com/physics-report…
Fully funded PhD position @ Bonn University in Graph management, graph mining, graph exploration in collaboration with Emmanuel Müller. More info: mott.in/graph-database… #graphmining #graphdb #phd #unibonn
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 spcl.inf.ethz.ch/Publications/i…
#KDD2020 @mlgworkshop will be virtual @kdd_news CFP: mlgworkshop.org/2020/ Deadline: Jun 15 MLG is non-archival -> resubmissions are welcome! Great to co-organize again w/ @Hofleitner, Julian McAuley, @phanein, @tim_weninger cc #MachineLearning #GraphMining #NetworkScience
Live aujourd'hui formation continue @ENSAEParisTech cours de #graphmining #clustering #louvain @NetworkFact un beau panel de #statisticians #DataScientist from @EDFofficiel @InseeFr @SocieteGenerale
We propose GraphMineSuite (GMS): the first benchmarking suite for broad graph mining that facilitates constructing and evaluating complex parallel graph mining algorithms. Find out more on our webpage: graphminesuite.spcl.inf.ethz.ch @thoefler @CSatETH #datamining #graphmining
New Paper Out!🔔 I am glad to announce that our paper collaborated with @GrabSG has been accepted by the @ieeebigdata! Paper Link: arxiv.org/pdf/2110.01171… #researchpaper #artificialintelligence #graphmining #machinelearning #bigdata
👉👉 Cross-Modal #FeatureRepresentation Learning and Label #GraphMining in a Residual Multi-Attentional #CNN-#LSTM Network for Multi-Label #Aerial #SceneClassification ✍️ Peng Li et al. 📎 mdpi.com/2072-4292/14/1…
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). ijwr.usc.ac.ir/article_186781… #DataScience #GraphMining
I am excited to announce that my research paper "MANTRA: Temporal Betweenness Centrality Approximation through Sampling" has been accepted at ECML-PKDD 2024. Looking forward to presenting it in Vilnius (: #GraphMining #TemporalGraphs @ECMLPKDD
📢 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: bit.ly/3uWvMXp. #graphmining #GNN #LLMs
"Graph neural networks in TensorFlow" from the TensorFlow Blog 👉blog.tensorflow.org/2024/02/graph-… #DataScience #GraphMining #MachineLearning
Graph neural networks in TensorFlow #GraphMining #Graphs #MachineLearning #TensorFlow. Follow us to stay up-to-date daily news. ichibanai.com/graph-neural-n…
📢 Our recent survey, "A Survey on Hypergraph Mining: Patterns, Tools, and Generators," with Geon, Fanchen, and @tinaeliassi is now on ArXiv. Link: arxiv.org/abs/2401.08878 Your feedback is highly appreciated. Please send me an email. #NetworkScience #GraphMining
Maciej presented at @NextSilicon GraphMineSuite (graphminesuite.spcl.inf.ethz.ch) and other designs in our set-centric paradigm for scalable, high-performance, and productive #GraphMining (ProbGraph, Set-Centric ISA).
Huge congratulations to 𝗝𝘂𝗿𝗲 𝗟𝗲𝘀𝗸𝗼𝘃𝗲𝗰, co-founder of ASEF, for being honored with the prestigious 𝗦𝗜𝗚𝗞𝗗𝗗 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗔𝘄𝗮𝗿𝗱 🏆🎉 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: openreview.net/pdf?id=KYPz4Ys… #GraphML #GraphMining #NetworkScience #MachineLea…
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: openreview.net/pdf?id=KYPz4Ys… #GraphML #GraphMining #NetworkScience #MachineLearning
Useful paper from @Abel0828, @jure, @PanLi90769257 et al. on representation learning of temporal graphs via Causal Anonymous Walks: openreview.net/pdf?id=KYPz4Ys… #GraphML #GraphMining #NetworkScience #MachineLearning
A very interesting paper by Lutz Oettershagen, @nmkriege, @chrsmrrs and Petra Mutzel on static representations of temporal graphs doi.org/10.1137/1.9781… . #GraphML #GraphMining #NetworkScience #MachineLearning
RT IKelvisar RT @jure: 🎉 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 …
🥳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 ⬇️: youtu.be/T4afZsyHmUc
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KGC 2022 Keynote: 'Deep Learning with Knowledge Graphs' by Stanford's...
RT jnkka RT @jure: 🎉 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 …
🎉 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…
Spectral counting of triangles in networks and related patterns #NetworkScience #GraphMining #GraphTheory
🎉 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…
Running #GraphMining mlgworkshop.org w/ @lgetoor, @danaikoutra, Julian & @seanjtaylor at #kdd2016 @kdd_news
Dr. Sayan Ranu, Assistant Professor, CSE department, IIT Delhi talks about ' Predicting #chemicalreaction through #graphmining' at #ICMLDS 2017
Our work with @kskianis and @mvazirg on graph-based text categorization, received the best paper award at the @NAACLHLT 2018 TextGraphs workshop! #NLProc #MachineLearning #GraphMining @centralesupelec
.@tinaeliassi talking about measuring tie-strength & #network #similarity @DataScienceSC & @LINQS_edu #GraphMining
Are you interested in #GraphMining #Optimization #MachineLearning with applications in #Bioinformatics? Internship position available @centralesupelec, @inria, @UnivParisSaclay and @IFPENinnovation with potential enrollment to #PhD subsequently More info: goo.gl/tk3Muz
Join us on Feb 9th for a very interesting program @HeteroNAM: heteronam.org/2018/#program #wsdm2018 @WSDMSocial #GraphMining #NetworkScience
A unique aspect of Amherst? Faculty and students collaborating in advanced research. In a rare outcome for undergraduates, Chloe Wohlgemuth '22 & Prof. Matteo Riondato (@teorionda) had a research paper on #GraphMining accepted to top #DataScience conference #KDD2021 (@kdd_news).
.@jure gave a great talk on #graph representation learning @ipam_ucla #DeepLearning workshop #graphmining
Intervention de @seb_loustau au séminaire @univamu à #Marseille Saint Charles 14h au menu #onlinelearning #graphmining @NetworkFact
Super exciting keynotes at @mlgworkshop this year from @CMUDB, @USC_ISI, @amazon, @googleresearch, @UICEngineering, and @turinginst cc: @kdd_news #kdd2018 #GraphMining #NetworkScience #DataScience #MachineLeaning mlgworkshop.org/2018/#keynote
Today at MICRO'21, Maciej is presenting a part of our recent insights and results into high-performance graph mining. Check the paper yourself: arxiv.org/pdf/2104.07582… #datamining #graphmining #pim #processinginmemory #graphaccelerator #architecture #networks @thoefler @CSatETH
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: amazon.jobs/en/jobs/186793…
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