Knowledge Graph Completion

201 papers with code • 7 benchmarks • 16 datasets

Knowledge graphs $G$ are represented as a collection of triples $\{(h, r, t)\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.

Source: One-Shot Relational Learning for Knowledge Graphs

Libraries

Use these libraries to find Knowledge Graph Completion models and implementations

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework

zjukg/snag 11 Mar 2024

In this work, to evaluate models' ability to accurately embed entities within MMKGs, we focus on two widely researched tasks: Multi-modal Knowledge Graph Completion (MKGC) and Multi-modal Entity Alignment (MMEA).

2
11 Mar 2024

Counterfactual Reasoning with Knowledge Graph Embeddings

lenazellinger/counterfactual_kgr 11 Mar 2024

We further observe that KGEs adapted with COULDD solidly detect plausible counterfactual changes to the graph that follow these patterns.

1
11 Mar 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

quqxui/mpikgc 4 Mar 2024

Knowledge graph completion (KGC) is a widely used method to tackle incompleteness in knowledge graphs (KGs) by making predictions for missing links.

7
04 Mar 2024

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion

zjukg/adamf-mat 22 Feb 2024

To address the mentioned problems, we propose Adaptive Multi-modal Fusion and Modality Adversarial Training (AdaMF-MAT) to unleash the power of imbalanced modality information for MMKGC.

8
22 Feb 2024

UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction

usail-hkust/urbankgent 10 Feb 2024

Urban knowledge graph has recently worked as an emerging building block to distill critical knowledge from multi-sourced urban data for diverse urban application scenarios.

8
10 Feb 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

zjukg/kg-mm-survey 8 Feb 2024

In this survey, we carefully review over 300 articles, focusing on KG-aware research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph (MM4KG), which extends KG studies into the MMKG realm.

134
08 Feb 2024

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion

weiyanbin1999/kicgpt 4 Feb 2024

Knowledge Graph Completion (KGC) is crucial for addressing knowledge graph incompleteness and supporting downstream applications.

8
04 Feb 2024

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

cyjie429/pmd 19 Jan 2024

This paper proposes a progressive distillation method based on masked generation features for KGC task, aiming to significantly reduce the complexity of pre-trained models.

3
19 Jan 2024

Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model

genggengcss/pdkgc 4 Dec 2023

Accordingly, we propose a new KGC method named PDKGC with two prompts -- a hard task prompt which is to adapt the KGC task to the PLM pre-training task of token prediction, and a disentangled structure prompt which learns disentangled graph representation so as to enable the PLM to combine more relevant structure knowledge with the text information.

6
04 Dec 2023

Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs

apple/ml-kge 27 Nov 2023

Recent work in Natural Language Processing and Computer Vision has been using textual information -- e. g., entity names and descriptions -- available in knowledge graphs to ground neural models to high-quality structured data.

13
27 Nov 2023