Reasoning on graphs: Faithful and interpretable large language model reasoning
Large language models (LLMs) have demonstrated impressive reasoning abilities in
complex tasks. However, they lack up-to-date knowledge and experience hallucinations …
complex tasks. However, they lack up-to-date knowledge and experience hallucinations …
Boosting few-shot 3d point cloud segmentation via query-guided enhancement
Although extensive research has been conducted on 3D point cloud segmentation,
effectively adapting generic models to novel categories remains a formidable challenge …
effectively adapting generic models to novel categories remains a formidable challenge …
Inductive reasoning with type-constrained encoding for emerging entities
C Mu, L Zhang, Z Wang, Q Yuan, C Peng - Neural Networks, 2024 - Elsevier
Abstract Knowledge graph reasoning, vital for addressing incompleteness and supporting
applications, faces challenges with the continuous growth of graphs. To address this …
applications, faces challenges with the continuous growth of graphs. To address this …
Meta-learning framework with updating information flow for enhancing inductive prediction
X Zhang, J Dang, Y Wang, S Li - Knowledge-Based Systems, 2024 - Elsevier
Inductive relation prediction, which handles unseen entities at the reasoning stage, has the
potential to complete continuously expanding knowledge graphs. Existing inductive …
potential to complete continuously expanding knowledge graphs. Existing inductive …
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion
Knowledge graphs (KGs) store enormous facts as relationships between entities. Due to the
long-tailed distribution of relations and the incompleteness of KGs, there is growing interest …
long-tailed distribution of relations and the incompleteness of KGs, there is growing interest …
Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs
C Yan, F Zhao, X Tao, X Zhu - IEEE Transactions on Big Data, 2024 - ieeexplore.ieee.org
A knowledge graph (KG) is a form of representing knowledge of the objective world. With the
expansion of knowledge, KGs frequently incorporate new entities, which often possess …
expansion of knowledge, KGs frequently incorporate new entities, which often possess …
Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs
Knowledge graphs (KGs) comprise entities interconnected by relations of different semantic
meanings. KGs are being used in a wide range of applications. However, they inherently …
meanings. KGs are being used in a wide range of applications. However, they inherently …