Search results for #GraphLearning
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 👉bit.ly/419Xahk
🚨 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
Looking forward to exchanging ideas — come say hi! 👋🏻 #ACL2025 #NLP #MultilingualAI #BiasInAI #RAG #GraphLearning
AIHybets builds a live, evolving Semantic Graph— Each node = a signal, insight, term, or prompt. You don’t interact with the graph. You become part of it. #SemanticAI #GraphLearning
✨ Check our latest paper: Graph World Model (GWM): Towards a Unified Foundation World Model for Structured and Unstructured Data 📄 Paper: arxiv.org/pdf/2507.10539 💻 Code: github.com/ulab-uiuc/GWM #AI #WorldModel #GraphLearning #FoundationModel #Multimodal #GWM
GDGB: The first benchmark for generative dynamic text-attributed graph learning, offering a foundation for advancing research in DyTAG generation. #AI #GraphLearning
We welcome you to submit your papers and participate in CSoNet 2025. csonet-conf.github.io #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. mdpi.com/journal/BDCC/s…
💎🤖 PEARL Unlocks Omics Secrets! A deep graph learning tool, PEARL integrates multi-omics to classify diseases and discover key features with high precision! #MultiOmics #AIinBiology #PEARL #GraphLearning #PrecisionMedicine #Bioinformatics #DeepLearning biorxiv.org/content/10.110…
Our inaugural #BioAI Summit's #SpeakerWeek kicks off with Dr Zili Zhou, Associate Principal #AI Scientist at @AstraZeneca. Zili's work focuses on #GraphLearning and #RepresentationLearning, aimed at improving the efficiency of #PharmaceuticalResearch. bionow.co.uk/event/BIONOW12…
This work is being presented at #WWW2025. paper ID: 1731. Friday, 2 May 2025. Oral: C3.6, 10.30am Poster: Parkside Ballroom, 2pm #Web #AI #Graph #matrix #GraphLearning #Clustering Revisiting Dynamic Graph Clustering via Matrix Factorization dl.acm.org/doi/10.1145/36…
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
Graph learning has evolved significantly. Early work in graph analysis was all about uncovering hidden patterns and relationships. Discover the journey here: ift.tt/9Rdnfbq #GraphLearning #DataScience #Evolution #Analytics #byAI
Our next talk will be given by @lrjconan on "SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups". Join us on Apr 30 (Wed) at **5pm** (CET). Check out dsiseminar.github.io for details. #graphlearning #diffusionmodel
🙏 Huge thanks to my co-author @KishanGurumurty and advisor @sh_charu for the collaboration, guidance, and insights throughout this journey. #GraphLearning #FederatedLearning #NeuralODE #GNN #AIResearch #TMLR @iiit_hyderabad
Graph learning's evolution is unfolding! 🚀 Google Research shares key insights. What future breakthroughs will it unlock? 🤔 buff.ly/Cmf5rHz #graphlearning #airesearch #googleresearch #machinelearning
From PageRank to modern graph learning—how far have we come? @Google researchers trace the evolution of graph-based AI and its breakthroughs. What’s next for graph learning? 🤔🚀 🔗 Read more: [research.google/blog/the-evolu…] #GraphLearning #AI #MachineLearning
From PageRank to modern graph learning—how far have we come? @Google researchers trace the evolution of graph-based AI and its breakthroughs. What’s next for graph learning? 🤔🚀 🔗 Read more: [research.google/blog/the-evolu…] #GraphLearning #AI #MachineLearning
@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
#ICLR2025 full paper (2): Title: Factor Graph-based Interpretable Neural Networks Fulltext: openreview.net/forum?id=10DtL… Code: github.com/yushuowiki/AGA… Check it out. #ICLR #AI #Graph #NeuralNetworks #GraphLearning #Explainability
