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Graphiti builds dynamic, temporally aware Knowledge Graphs that represent complex, evolving relationships between entities over time. Graphiti ingests both unstructured and structured …

Nov 25, 2024 · Knowledge graph embedding (KGE), as a pivotal technology in artificial intelligence, plays a significant role in enhancing the logical reasoning and management …

In this paper, we introduce some models on static knowledge graph and temporal knowledge graph, and analyze the advantages and disadvantages of each model. Published in: 2021 …

Sep 5, 2022 · Temporal knowledge graph (TKG) representation learning aims to project entities and relations in TKGs to a low-dimensional vector space while preserving the evolutionary …

2 days ago · Temporal knowledge graph (TKG) reasoning has two settings: interpolation reasoning and extrapolation reasoning. Both of them draw plenty of research interest and have …

Feb 22, 2025 · Temporal Knowledge Graphs (TKGs) represent a crucial source of structured temporal information and exhibit significant utility in various real-world applications. However, …

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 the future is still …

This paper summarizes the recent advances in temporal knowledge graph completion (TKGC), a method that incorporates the temporal validity of facts for link prediction. It provides a …

Oct 9, 2024 · To tackle these issues, a novel temporal knowledge graph reasoning model based on Relation Graphs and Time-Guided Attention mechanism (RG-TGA) within a local–global …

Temporal Knowledge Graph (TKG) Forecasting aims at predicting links in Knowledge Graphs for future timesteps based on a history of Knowledge Graphs.

Nov 20, 2022 · Temporal knowledge graph, serving as an effective way to store and model dynamic relations, shows promising prospects in event forecasting.

1 day ago · Temporal Knowledge Graph Completion (TKGC) aims to address the incompleteness issue present in Temporal Knowledge Graph (TKG). Existing methods for TKGC mainly fall …

Feb 22, 2025 · In this paper, we present a novel time-aware knowledge graph embebdding approach, TeLM, which performs 4th-order tensor factorization of a Temporal knowledge …

With the widespread application of temporal knowledge graph reasoning (TKGR) models, there is an increasing demand to reduce the memory consumption and enhance the reasoning …

Feb 20, 2025 · An Urban Traffic Knowledge Graph-Driven Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction. IJCKG '22: Proceedings of the 11th International Joint …

Feb 26, 2025 · Intelligent transportation systems grapple with the formidable task of precisely forecasting real-time traffic conditions, where the traffic dynamics exhibit intricacies arising …

6 days ago · A temporal knowledge graph (TKG) extends existing KG by incorporating temporal information in a specific time or interval. This addition poses significant challenges because it …

Feb 26, 2025 · ORBITAAL provides temporal graph representations of entity-entity transaction networks, snapshots, and stream graph. ... TGB 2.0: A Benchmark for Learning on Temporal …

Jan 16, 2022 · Abstract page for arXiv paper 2201.08236: Temporal Knowledge Graph Completion: A Survey Knowledge graph completion (KGC) can predict missing links and is …