Association for Computing Machinery (ACM)
KDD 2026 -LMID: A Comprehensive Multimodal Dataset for Failure Prediction in Cloud Computing Systems
Association for Computing Machinery (ACM)
KDD 2026 -M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers
Association for Computing Machinery (ACM)
KDD 2026 -Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
Association for Computing Machinery (ACM)
KDD2026 -Automated Annotation of Privacy Information in User Interactions with Large Language Models
CNCF [Cloud Native Computing Foundation]
Keynote: Orchestrating Document Data Extraction with Dapr Agents - Fabian Steinbach (ASL)
Association for Computing Machinery (ACM)
KDD 2026 -ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations
Association for Computing Machinery (ACM)
KDD 2026-Enriching Semantic Profiles into KnowledgeGraph/ RecommenderSystemsUsing Large Langu.Models
Association for Computing Machinery (ACM)
KDD 2026-Spatiotemporal Graph Learning with Direct Volumetric Info. Passing and Feature Enhancement
Association for Computing Machinery (ACM)
KDD 2026-DSPIGCN:Dual-streamPhysics-informed GraphConvolut.Network forReliablePedes. TrajectoryPred.