#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

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:

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

📢 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

Learn how Spotify uses #MachineLearning to personalize its service #PyTorchGeometric #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

⏳ 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

💻 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

Here's a great #gaming use case for #GraphLearning #GraphNeuralNetworks

Beyond excited to share our preprint VesselGraph on Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience in collaboration with @erturklab @guennemann @DQBM_uzh @UZH_en @TU_Muenchen link: git:

(2/n) We extract a set of standardized whole-brain vessel graphs based on whole, segmented mouse brains from various imaging sources & publicly release our data in an easily accessible and adaptable format for #graphlearning by implementing #OGB and #PyTorchGeometric data loaders

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

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

Predict Ionization Energy of Molecules Using Conventional and Graph-Based Machine Learning Models #GraphLearning #cheminformatics Vol63 Issue3 #JCIM #MachineLearning #DeepLearning

#GraphLearning is an amazing technology that can monitor the health of your “steps” for signs of joint injuries, muscular dystrophy and even strokes #PyG #PyTorchGeometric #GraphNeuralNetworks

Here's how #GraphLearning can analyze your customer interactions and potential notifications to uncover the ideal notification strategy for optimizing #LifetimeValue and reducing #CustomerChurn

🎓 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

Great walkthrough on how you can use Kumo to power your retention strategy #GraphNeuralNetworks #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

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

📊#GNN case study: 73% better predicting “next best" offers at an online bank in 3-days of modeling across 3B records. Learn more: #PredictiveAI #GraphLearning #GraphNeuralNetworks