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20222026
most citedType-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

6 citations · 6 across the 10 of their papers we have counts for

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cs.AI2026

Chain Of Thought Compression: A Theoretical Analysis

Juncai Li, Ru Li, Yuxiang Zhou +2

Chain-of-Thought (CoT) has unlocked advanced reasoning abilities of Large Language Models (LLMs) with intermediate steps, yet incurs prohibitive computational costs due to generati…

cs.AI2024

COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typing

Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang +2

Knowledge graph entity typing (KGET) aims to infer missing entity type instances in knowledge graphs. Previous research has predominantly centered around leveraging contextual info…

cs.AI2024

HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation

Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang +2

In a hyper-relational knowledge graph (HKG), each fact is composed of a main triple associated with attribute-value qualifiers, which express additional factual knowledge. The hype…

cs.AI2022

Transformer-based Entity Typing in Knowledge Graphs

Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang +2

We investigate the knowledge graph entity typing task which aims at inferring plausible entity types. In this paper, we propose a novel Transformer-based Entity Typing (TET) approa…

cs.AI2022★ 6 cited

Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang +3

Multi-hop reasoning over real-life knowledge graphs (KGs) is a highly challenging problem as traditional subgraph matching methods are not capable to deal with noise and missing in…