#GraphLearning

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: #NeurIPS #graphlearning

💻 New Cyber Daily Report Blog Post! Title: Enhancing Lateral Movement Detection with Graph Learning Author: Mahdi Rabbani Editor: Windhya Rankothge Link: #GraphLearning #MachineLearning #LateralMovementDetection #AdvancedPersistentThreat

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:

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): #graphlearning #llm #token #largelanguagemodel #graph #AI #research

#234 Graph Learning Explained: How Machines Understand Complex Relationships #GraphLearning #MachineLearning #GraphNeuralNetworks #DataScience #ArtificialIntelligence #DeepLearning #GraphTheory #AI #DataScienceDemystifiedDailyDose

"🚨 Reviewing for graph learning papers has officially begun! 🚨 A reminder to all reviewers: the deadline is October 7th. Let’s provide insightful feedback to advance research in this exciting field! #GraphLearning #MachineLearning #LearningonGaph

🎓 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: #PhD #GraphLearning #Hiring

⏳ Deadline extended for COMPLEX NETWORKS 2026! Final deadline: Sept 13, 2026 📄 Full papers & extended abstracts welcome 📍 Granada, Spain | Dec 2–4 🔗 #ComplexNetworks #NetworkScience #GraphLearning

🚨 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

📢 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

#GraphLearning lets you predict product affinity across your customers and test predictions for different cross-sell and up-sell strategies. #GraphNeuralNetworks

Webinar Starting 1 Hour: Perfect the frequency and personalization of customer notifications with #GraphLearning #DataScience #GraphNeuralNetworks

A #PromptEngineering approach to composing more effective chat conversations using #PredictiveAI #GraphLearning #DeepLearning #GraphNeuralNetworks

🔍 Exciting news! Learn how #The1 is revolutionizing dynamic graph learning with DyFormer, a scalable Transformer-like method that tackles missing/spurious links and improves generalization. 🌟 #graphlearning #innovation

Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.

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 for details. #graphlearning

Pre-print and code for our #RecSys2024 @ACMRecSys paper are now out! Check them out 🚀🚀 * Pre-print: * Code: Don't forget to save the date of our presentation: 📅 October 16, 2024 (#GraphLearning session

I’m happy to share “A Novel Evaluation Perspective on #GNNs-based Recommender Systems through the Topology of the User-Item Graph” has been accepted to the #reproducibility track of #RecSys2024 @ACMRecSys! w/ @scne @alberto_mancino @walteranelli @TommasoDiNoia @DiSciascioEugen

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 👉

⏳ 1 week left to submit to COMPLEX NETWORKS 2026! 📅 Deadline: Sept 2, 2026 📍 Granada, Spain | Dec 2–4 📄 Full papers & extended abstracts welcome 🔗 #ComplexNetworks #NetworkScience #GraphLearning

🚀 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