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title: "Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion — Stuff That Spins"
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keywords: ["narrative intelligence", "SpinGraph", "AI recall"]
date: "2026-07-07T04:00:00+00:00"
modified: "2026-07-07T06:04:40.995183+00:00"
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# Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion

**Source:** Unknown  
**Published:** July 7, 2026  
**Original:** https://arxiv.org/abs/2607.03154  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.03154v1 Announce Type: new Abstract: Multi-domain knowledge graph completion (MKGC) aims to improve missing triple prediction in a target KG by transferring knowledge from other support KGs. Existing methods typically enforce consistency constraints on equivalent entities across KGs to transfer knowledge, which risks suppressing domain-specific contextual information of entities. This design can also compromise entity representation information from all KG domains, impeding performanc

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