Top Tweets for #Graphlearning
โณ Deadline extended for COMPLEX NETWORKS 2026!
Final deadline: Sept 13, 2026
๐ Full papers & extended abstracts welcome
๐ Granada, Spain | Dec 2โ4
๐ https://t.co/HAIa76VToP
#ComplexNetworks #NetworkScience #GraphLearning
โณ 1 week left to submit to COMPLEX NETWORKS 2026!
๐
Deadline: Sept 2, 2026
๐ Granada, Spain | Dec 2โ4
๐ Full papers & extended abstracts welcome
๐ https://t.co/HAIa76VToP
#ComplexNetworks #NetworkScience #GraphLearning
๐ข Postdoc Opportunity: Graph Learning at the Max Planck Institute of Biochemistry, Germany. Develop next-generation graph machine learning algorithms. Apply by 30 Sept 2026. #Postdoc #GraphLearning #MachineLearning #AI #Germany #Maxplanck
https://t.co/JToRgw6Cpj
This paper was published earlier 2026 in ACM TOIS! We're delighted that it has been selected for presentation at #SIGIR2026 in Melbourne. We'd love to see you there!
DOI (open access): https://t.co/5QsATv53GE
#graphlearning #llm #token #largelanguagemodel #graph #AI #research
Huge thanks to all my brilliant co-authors and mentors ๐๐
If you're at ICLR and want to chat AI Agents, Multimodal Learning, Graph Learning, CUAs, or anything else โ please stop by our posters or DM me!
See you in Rio ๐ง๐ท๐โฑ๏ธ
#AI #Agents #MultimodalAI #GraphLearning #LLM #CUA
๐ข Call for Papers โ COMPLEX NETWORKS 2026
๐ Granada, Spain | Dec 2โ4, 2026
Join a leading conference in #NetworkScience & #ComplexSystems
๐๏ธ Deadline: Sept 2, 2026
๐ https://t.co/B4uK9be762
#CallForPapers #GraphLearning
๐ PhD Position in Graph Learning
๐ University of Vienna
We seek a motivated PhD student with strong interest in machine learning, graph theory & mathematical foundations.
๐ Deadline: 26.03.2026
๐ Apply here: https://t.co/hBV1mNPeZg
#PhD #GraphLearning #Hiring
1/
I am thrilled to share that Shira Lifshitz will present our paper at AAAI (oral + poster)!
This was a collaborative effort with Ron Meir (EE, Technion), @gmishne (UC San Diego), and @Ofirlin (BIU).
#AAAI #UnsupervisedLearning #FeatureSelection #GraphLearning #DataScience
Excited to be heading to NeurIPS 2025 next week in San Diego to present the work I did during my internship at Amazonย ๐
If youโll be around, letโs catch up and chat!
Paper link: https://t.co/k9xday2uWp
#NeurIPS #graphlearning
๐ง๏ธ PhD alert: Dynamic Graph Learning for Flood-Resilient Cities ๐
How do urban systems interact during floods?
Apply now: https://t.co/6AGVSq1DFf
Based in @EngineeringNCL | @Sage_NCL
#PhD #AI #FloodResilience #GraphLearning #UrbanSystems #Hydrology
Join us for the Stanford Graph Learning Workshop 2025!
๐๏ธOct 14, 2025
๐Stanford University
๐ง Topics: Agents, RFMs & LLM Inference.
Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts.
Register now:ย https://t.co/tGhQ9NZAgv
๐ Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !๐
๐ Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn .
#NeurIPS2025 #GNN #GraphLearning #AIResearch
At @cp_conf our coordinator Sylvie Thiรฉbaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI
๐https://t.co/rfb4gxilym
๐จ BREAKTHROUGH in Graph Learning!
What if each node in your graph could plan, reason, and act like a mini-agentโpowered by an LLM? ๐คฏ
Thatโs exactly what ReaGAN does. And it might just outsmart classic GNNs.
Let me explain ๐งต๐
#AI #GraphLearning #LLM #MachineLearning
We welcome you to submit your papers and participate in CSoNet 2025. https://t.co/QYiT9yJtkg
#CFP #Conference #papers #SocialNetworks #BigData #NetworkScience #AI #GraphLearning
#CallforPaper
๐ซ Advances in Graph Learning and Representation Models for Complex Network Analysis
This SI aims to bring together leading-edge research that explores the design, implementation, and application of #GraphLearning and #RepresentationModel.
https://t.co/ij0N2NCmn6
Two papers at #ICLR2025
Biologically Plausible Brain Graph Transformer
Hall 3 + Hall 2B #200
Thu 24 Apr 3pm - 5:30pm
Factor Graph-based Interpretable Neural Networks
Hall 3 + Hall 2B #523
Fri 25 Apr 3pm - 5:30pm
#ICLR #AI #Brain #NeuralNetworks #Transformer #GraphLearning
#234 Graph Learning Explained: How Machines Understand Complex Relationships
#GraphLearning #MachineLearning #GraphNeuralNetworks #DataScience #ArtificialIntelligence #DeepLearning #GraphTheory #AI #DataScienceDemystifiedDailyDose
https://t.co/oJpazeDKEj
Our paper being presented at #AAAI2025:
Title: FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
PDF: https://t.co/fMgu9v3nAS
Code: https://t.co/4sLIJkqhqv
Oral&Poster on 1 Mar.
#AAAI #AI #Scalability #Fairness #Transformer #GraphLearning #MachineLearning
We invite you to read our full TMLR paper (Feb 2025) ๐ [https://t.co/cZQVTYCWir] and join the discussion on how these insights could reshape the design of self-supervised learning frameworks in graph data! #GraphLearning #SSL #ContrastiveLearning
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