Chengjin Xu | DeepAI

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∙ 07/15/2023

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph

Large language models (LLMs) have made significant strides in various ta...

0 Jiashuo Sun, et al. ∙

∙ 06/25/2023

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?

The rapid advancement of Large Language Models (LLMs) has led to extensi...

0 Haohan Zhang, et al. ∙

∙ 04/10/2023

Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction

Temporal relation prediction in incomplete temporal knowledge graphs (TK...

0 Zhongwu Chen, et al. ∙

∙ 04/07/2023

Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method

The development of knowledge graph (KG) applications has led to a rising...

0 Xuhui Jiang, et al. ∙

∙ 02/11/2023

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

In the last few years, the solution to Knowledge Graph (KG) completion v...

0 Zhongwu Chen, et al. ∙

∙ 05/28/2022

TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

Multi-hop logical reasoning over knowledge graph (KG) plays a fundamenta...

0 Xueyuan Lin, et al. ∙

∙ 03/04/2022

Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs

Entity alignment aims to identify equivalent entity pairs between differ...

0 Chengjin Xu, et al. ∙

∙ 02/18/2022

Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion

Recent years, Knowledge Graph Embeddings (KGEs) have shown promising per...

0 Chengjin Xu, et al. ∙

∙ 04/11/2021

Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings

Among the top approaches of recent years, link prediction using knowledg...

0 Chengjin Xu, et al. ∙

∙ 10/13/2020

Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations

Knowledge Graph Embeddings (KGEs) have shown promising performance on li...

0 Mojtaba Nayyeri, et al. ∙

∙ 10/02/2020

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation

In the last few years, there has been a surge of interest in learning re...

0 Chengjin Xu, et al. ∙

∙ 10/02/2020

Knowledge Graph Embeddings in Geometric Algebras

Knowledge graph (KG) embedding aims at embedding entities and relations ...

0 Chengjin Xu, et al. ∙

∙ 11/18/2019

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition

Knowledge Graph (KG) embedding has attracted more attention in recent ye...

18 Chengjin Xu, et al. ∙

∙ 09/02/2019

On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score

Knowledge graphs (KGs) represent world's facts in structured forms. KG c...

0 Mojtaba Nayyeri, et al. ∙

∙ 08/20/2019

LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules

Knowledge graph embedding models have gained significant attention in AI...

0 Mojtaba Nayyeri, et al. ∙

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