Top Tweets for #GraphLearning
๐ฅ Highly Cited Paper from MAKE
๐ Assessment of Software Vulnerability Contributing Factors by Model-Agnostic Explainable AI
๐ Read more: https://t.co/R4fyq6PLIK
#ExplainableAI #XAI #GraphLearning #SoftwareVulnerability
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
Our paper โPonzitracker: A General Detection Framework for Ponzi Scheme in Blockchainsโ has been accepted by DASFAA 2026!
#DASFAA2026 #Blockchain #Security #GraphLearning #GNN #Bitcoin #Ethereum
This is a (long) paper! It is a book too! 180+ pages. Feels good in print.
Graph learning
https://t.co/hF7WSlBovL
๐ Full text on arXiv: https://t.co/4I6WWPJEyu
#GraphLearning #GraphNeuralNetworks #GNN #MachineLearning #Research #AI #Book
New research article
Identifying Financial Risk Contagion with Large Language Models and Temporal Graph Learning
Moyang Liu, Letian Zhao, Junqi Chen, Xiang Li, Shuo Zhang, Zhibin Niu
#LLMs #GraphLearning #PeerReviewed #OpenAccess #IntelligentComputing
https://t.co/Vn5x2YwyU9
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/kUTJDaAdB4โฆ
#PhD #GraphLearning #Hiring
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
๐ New #SpecialIssue "Graph Learning and Graph Neural Networks: Techniques and Applications", edited by Prof. Xinming Zhang and Dr. Xingtong Yu.
Deadline is: 30 September 2026. Submissions are welcome until deadline!
https://t.co/lfdly99lTP
#GraphLearning #ML
@ComSciMath_Mdpi
AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging
Preprint: AnchorGK introduces a novel graph learning framework forโฆ
https://t.co/XGB7XxKbgT #AI #GraphLearning #MachineLearning #Preprint #Arxiv #ScienceNews
๐ง โจ Part-Wise Graph Fourier Learning for Skeleton-Based Continuous Sign Language Recognition by Dong Wei, Hongxiang Hu & Gang-Feng Ma
๐ https://t.co/g4LDJ9N1g4
#MDPIjimaging #AI #ComputerVision #SignLanguage #GraphLearning #ML #MDPI
New review article
https://t.co/qmfP5TeSA4
Graph Learning-Empowered Financial Fraud Detection: Progress and Future Directions
Enxia Li, Mengshi Chen, Sheng Xiang, and Ling Chen
#PeerReviewed #OpenAccess #IntelligentComputing #FraudDetection #GraphLearning
๐ Find me at Google Booth #1633 (Exhibit Hall A,B): I'll be there this Wed & Fri morning. Do drop by for the exciting demos!
#MachineLearning #DifferentialPrivacy #LLMs #TrustworthyAI #GraphLearning #MachineUnlearning
If you're attending and want to chat about AI Agents, Multimodal Learning, Graph Learning, and beyond, please stop by our posters or DM me. See you in San Diego! ๐ฎ๐โโ๏ธ
#NeurIPS2025 #AI #MachineLearning #VLM #Agents #NLP #GraphLearning #Research #SanDiego
Excited to share our new paper, โTransMarker: Unveiling dynamic network biomarkers in cancer progression through cross-state graph alignment and optimal transportโ, published in PLOS Computational Biology!
#Bioinformatics #GraphLearning #CancerGenomics
๐ https://t.co/oBdhccXNZt
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
Our comprehensive survey on Graph Learning (180+ pages) is out!
We map the landscape & future of learning on graphs.
On arXiv: https://t.co/4I6WWPJEyu
Published at: https://t.co/klKGsDXLFV
#GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
Excited to share our new paper in IEEE JBHI!
MTPrior: a multi-task hierarchical graph embedding framework that jointly prioritizes coding genes & lncRNAs linked to hepatocellular carcinoma (HCC).
Read more https://t.co/DyleUnUf6v
#Bioinformatics #GraphLearning #CancerGenomics
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
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