Robuta

https://arxiv.org/abs/1009.3499 [1009.3499] Multiplicative Attribute Graph Model of Real-World Networks Abstract page for arXiv paper 1009.3499: Multiplicative Attribute Graph Model of Real-World Networks graph model real world 1009 3499 multiplicative https://jmlr.org/papers/v24/22-1138.html An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks graph model annotated https://www.mdpi.com/1424-8220/21/13/4428 Graph Model-Based Lane-Marking Feature Extraction for Lane Detection This paper presents a robust, efficient lane-marking feature extraction method using a graph model-based approach. To extract the features, the proposed hat... graph model lane marking feature extraction based detection https://openreview.net/forum?id=F74rZKJXfm Hierarchical Language Model Design For Interpretable Graph Reasoning | OpenReview Large language models (LLMs) are being increasingly explored for graph tasks. Despite their remarkable success in text-based tasks, LLMs' capabilities in... language model hierarchical design graph reasoning https://openreview.net/forum?id=FBjVSPAsgs Stochastic Block Model-Aware Topological Neural Networks for Graph Link Prediction | OpenReview Link prediction is an important learning task for graph-structured data and is indispensable to understanding graphs' properties. Recent works focus on... stochastic block model neural networks https://jmlr.org/papers/v22/20-391.html Strong Consistency, Graph Laplacians, and the Stochastic Block Model strong consistency graph stochastic block model https://neo4j.com/videos/how-neo4j-aura-graph-analytics-helps-developers-model-real-world-patient-data/ Video: How Neo4j Aura Graph Analytics Helps Developers Model Real-World Patient Data