graphs

"Specifically, GNN-as-Judge introduces a collaborative pseudo-labeling strategy that first identifies the most influenced unlabeled nodes from labeled nodes, then exploits both the agreement and disagreement patterns between LLMs and GNNs to generate reliable labels."

"Furthermore, we explore the use of graph neural networks to harness invariances in the relational structure of planning domains and learn representations that afford faster planning."

"However, the extraction of rich semantic knowledge demands the deployment of scalable and flexible automatic methods adaptable across text genres and schema specifications."

"The proposed framework features lower computational and memory complexity with respect to competitive alternatives while empirical results show strong qualitative performance, both in terms of eigenvector approximation and accuracy of downstream learning tasks of central node identification and node clustering."

"AI agents need long-term memory to be genuinely useful in complex, multi-step workflows."

"About GNN (Graph Neural Networks) I investigated, so that summary."

"The context is from ArXiv, indicating a research paper."

"The article's source is ArXiv, indicating a pre-print research paper."

"The article's core focus is on EFX allocations within triangle-free multi-graphs."

"The paper examines the diffusion of emotions."

"The article discusses approximation schemes."

"The research focuses on interpretable perturbation modeling."

"Optimal eigenvalues on a metric graph with densities."

"CoLaS: Copula-Seeded Sparse Local Graphs with Tunable Assortativity, Persistent Clustering, and a Degree-Tail Dichotomy"

"The research is sourced from ArXiv, indicating it's a peer-reviewed research paper."

"The research focuses on optimal sensor placement."

"The research focuses on the classification of synthetic graph generative models."

"The paper focuses on out-of-distribution detection in molecular complexes."

"The article likely discusses enhancing warehouse planning through simulation-driven knowledge graphs and LLM collaboration."

"The article's focus is on 'persistent commutative algebra on graphs and hypergraphs.'"

"The article's context suggests the research focuses on distributed learning within the framework of Markovian restless bandits and interference graphs."

"The paper leverages Vision-Language Models to create State-Aware Unified Scene Graphs for Embodied Task Planning."

"The paper focuses on using Time-Dependent Recursive Summary Graphs for foresight."

"The paper focuses on embodied navigation among movable obstacles."

"The research is sourced from ArXiv, indicating it's a pre-print or publication related to academic research."

"Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs"

"The paper leverages a two-stage attention triple enhancement and a U-KAN based diffusion for knowledge graph completion."

"The research focuses on enabling neuron-expandability, pathway-reusability, and dynamic-configurability."