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Aug 1, 2024 · Temporal knowledge graph reasoning addresses the challenge of understanding and reasoning over time-varying knowledge, enabling systems to make informed decisions …

Temporal knowledge graph reasoning addresses the challenge of understanding and reasoning over time-varying knowledge, enabling systems to make informed decisions and predictions …

To this end, we propose a new temporal graph reasoning framework, called the Dual Guiding constrained generative model (DuGen), which primarily consists of a context summarizer and …

Apr 2, 2024 · Temporal Knowledge Graph (TKG), which characterizes temporally evolving facts in the form of (subject, relation, object, timestamp), has attracted much attention recently. TKG …

Sep 6, 2023 · Abstract: Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge Graph (KG) that incorporates the dimension of time. Reasoning on TKGs is a …

Dec 1, 2024 · A novel method of multi-graph learning for temporal knowledge graph reasoning. An expressive graph aggregator to model spatial–temporal interactions. An adaptive way to …

Oct 9, 2024 · We propose a novel temporal knowledge graph reasoning model, simultaneously considering the semantic correlation of relations, the repetitiveness of historical facts, and the …

Jan 23, 2025 · Temporal knowledge graphs (TKGs) are critical tools for capturing the dynamic nature of facts that evolve over time, making them highly valuable in a broad spectrum of …

5 days ago · Temporal Knowledge Graph (TKG) reasoning seeks to predict future incomplete facts leveraging historical data.

Apr 1, 2023 · In this paper, we propose a novel model, TLmod, for temporal knowledge graph reasoning tasks. We define five types of temporal logical rules. Meanwhile, we propose a …

Temporal Knowledge Graph (TKG) reasoning involves predicting future facts based on historical information by learning correlations between entities and relations. Recently, many models …

Abstract: Temporal knowledge graph (TKG) reasoning has attracted significant attention. Recent approaches for modeling historical information have led to great advances.

Apr 21, 2021 · Knowledge Graph (KG) reasoning that predicts missing facts for incomplete KGs has been widely explored. However, reasoning over Temporal KG (TKG) that predicts facts in …

Jan 29, 2025 · Temporal Knowledge Graph (TKG) reasoning, which focuses on leveraging temporal information to infer future facts in knowledge graphs, plays a vital role in knowledge …

In this paper, we investigate a realistic but underexplored problem, called few-shot temporal knowledge graph reasoning, that aims to predict future facts for newly emerging entities based …

Jan 28, 2025 · Knowledge graphs can improve the performance of recommendation systems and provide explanations for recommendation results, which have been widely applied in the next …

Jan 30, 2025 · To improve, this paper develops a semi-supervised graph neural network model termed the Interpretable Spatial–Temporal Graph Convolutional Network (IST-GCN). By …

Jan 20, 2025 · View a PDF of the paper titled Zep: A Temporal Knowledge Graph Architecture for Agent Memory, by Preston Rasmussen and 4 other authors. View PDF HTML (experimental) …

5 days ago · Temporal Knowledge Graph (TKG), which characterizes temporally evolving facts in the form of (subject, relation, object, timestamp), has attracted much attention recently. TKG …