Top Tweets for #Graphlearning
Huge thanks to all my brilliant co-authors and mentors 🙌🚀
If you're at ICLR and want to chat AI Agents, Multimodal Learning, Graph Learning, CUAs, or anything else — please stop by our posters or DM me!
See you in Rio 🇧🇷🌊⛱️
#AI #Agents #MultimodalAI #GraphLearning #LLM #CUA
📢 Call for Papers — COMPLEX NETWORKS 2026
📍 Granada, Spain | Dec 2–4, 2026
Join a leading conference in #NetworkScience & #ComplexSystems
🗓️ Deadline: Sept 2, 2026
🔗 https://t.co/B4uK9be762
#CallForPapers #GraphLearning
🎓 PhD Position in Graph Learning
📍 University of Vienna
We seek a motivated PhD student with strong interest in machine learning, graph theory & mathematical foundations.
🗓 Deadline: 26.03.2026
👉 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 Amazon 😄
If you’ll be around, let’s catch up and chat!
Paper link: https://t.co/k9xday2uWp
#NeurIPS #graphlearning
🌧️ PhD alert: Dynamic Graph Learning for Flood-Resilient Cities 🌍
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!
🗓️Oct 14, 2025
📍Stanford University
🧠Topics: Agents, RFMs & LLM Inference.
Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts.
Register now: https://t.co/tGhQ9NZAgv
🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉
🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn .
#NeurIPS2025 #GNN #GraphLearning #AIResearch
At @cp_conf our coordinator Sylvie Thiébaux 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
👉https://t.co/rfb4gxilym
🚨 BREAKTHROUGH in Graph Learning!
What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯
That’s exactly what ReaGAN does. And it might just outsmart classic GNNs.
Let me explain 🧵👇
#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
💫 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
@chaitjo @benfinkelshtein @ffabffrasca @mmbronstein @phanein @michael_galkin @chrsmrrs This paper highlights crucial issues! We need better benchmarks and more real-world applications to unlock the true potential of graph learning. #GraphLearning #AI #Benchmarks
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) 👉 [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
💻 New Cyber Daily Report Blog Post!
Title: Enhancing Lateral Movement Detection with Graph Learning
Author: Mahdi Rabbani
Editor: Windhya Rankothge
Link: https://t.co/eJUFzSSjCS
#GraphLearning #MachineLearning #LateralMovementDetection #AdvancedPersistentThreat
🚀 Exciting news! The1's latest research provides a benchmark for graph learning datasets, including applications in NLP and computer vision 📊🔍 Stay ahead of the curve with #The1! #GraphLearning #NLP #ComputerVision
Happy new year! Our first talk of 2025 will be given by
@yanning_shen (UC Irvine) on "Demystifying and Mitigating Unfairness for Learning over Graphs". Join us on Jan 22 (Wed) at *4pm* (CET). Check out https://t.co/PWFws3uz9X for details. #graphlearning
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