Negative Sampling in Knowledge Graph Representation Learning: A Review

T Madushanka, R Ichise - arXiv preprint arXiv:2402.19195, 2024 - arxiv.org
Knowledge graph representation learning (KGRL) or knowledge graph embedding (KGE)
plays a crucial role in AI applications for knowledge construction and information …

Personalization exercise recommendation framework based on knowledge concept graph

Z Yan, H Du, Z Lin, Z Jianhua - Computer Science and Information …, 2023 - doiserbia.nb.rs
With the explosive increase of online learning resources, how to provide students with
personalized learning resources and achieve the goal of precise teaching has become a …

Enhancing downstream tasks in Knowledge Graphs Embeddings: A Complement Graph-based Approach Applied to Bilateral Trade

D Rincon-Yanez, A Mouakher, S Senatore - Procedia Computer Science, 2023 - Elsevier
Forecasting international trade flows is crucial for understanding global economic activity
and serving as critical economic indicators used by economists and policymakers with …

[HTML][HTML] A Novel Link Prediction Method for Social Multiplex Networks Based on Deep Learning

J Cao, T Lei, J Li, J Jiang - Mathematics, 2023 - mdpi.com
Due to the great advances in information technology, an increasing number of social
platforms have appeared. Friend recommendation is an important task in social media, but …

Personalization exercise recommendation based on cognitive diagnosis

H Du, N Li, F Ma, T Palaoag - … of the 6th International Conference on …, 2022 - dl.acm.org
Online education has become an important part of education services. Faced with the vast
online learning resources, how to provide students with personalized learning resources …

[PDF][PDF] DisHAP: 基于层次亲和聚类的分布式大图划分算法

柳菁, 李琪 - 电子学报, 2021 - ejournal.org.cn
平衡图划分是改善并行图计算性能的关键. 一个良好的划分算法应保证划分后的子图在负载均衡
的前提下, 减少子图之间的交互边(切割边) 规模, 从而减少网络通信. 对此 …

Multi-Source Information Graph Embedding with Ensemble Learning for Link Prediction

C Hou, X Wang, X Luo, S Xie - Electronics, 2024 - mdpi.com
Link prediction is a key technique for connecting entities and relationships in a graph
reasoning field. It leverages known information about the graph structure data to predict …

[PDF][PDF] Quality Improvement in the Mapping Process required for Linked Data publication

A RANDLES - tara.tcd.ie
This thesis presents a quality improvement approach named the Mapping Quality
Improvement (MQI) Framework designed to improve and maintain quality in the publication …