TL;DR
The ED-mod temporal knowledge graph inference model, which is enhanced with entity descriptions, can utilize the information from the graph structure and entity descriptions to perform the task of temporal knowledge graph reasoning.
A multi-modal data-driven knowledge graph reasoning model integrating unified encoding, graph representation learning, and rule constraints is proposed, indicating better relation completion accuracy, reasoning stability, and inference efficiency in multi-modal knowledge graph reasoning tasks.
This work proposes a multi-granularity knowledge refinement approach to prune historical TKGs, which selectively removes irrelevant edges and unnecessary nodes at both the edge and node levels.
Temporal knowledge graph (TKG) reasoning is critical for modeling and forecasting the evolution of real-world events. Existing TKG construction pipelines transform raw text into structured temporal quadruples as graph facts. However, in this process, they often fail to preserve reasoning-relevant contextual semantics f...
A subgraph-aware semantic expansion module that coordinates $k$-hop neighborhood information with LLM-generated descriptions to alleviate structural sparsity and a contrastive ontology matching mechanism resolves structural inconsistencies by computing adaptive similarity metrics between ontology embeddings and subgrap...
AG is proposed, a Structure-Aware Generative framework for temporal knowledge graph reasoning with historical evidence that first constructs dual-view historical evidence to better capture structural dependencies in temporal knowledge graphs and formulates TKGR as an end-to-end generative task through instruction tunin...
Knowledge graphs provide a structured modeling of human knowledge, which is essential to many modern knowledge discovery systems. Knowledge graph embedding and knowledge graph representation learning techniques convert entities and relations into feature vectors, thereby facilitating their effective integration into co...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
