IEEE

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations

Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...
IEEE

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion

Abstract: Knowledge graphs (KGs) play a key role in promoting various multimedia and AI applications. However, with the explosive growth of multi-modal information, traditional knowledge graph ...
GitHub

Species-Gene Association Graph Neural Network Model

物种基因关联图神经网络模型 - A heterogeneous Graph Neural Network (GNN) model for learning and predicting cross-species gene functional similarities ...
GitHub

Boosting Graph Neural Networks via Adaptive Knowledge Distillation

This repository contains the official implementation of the paper "Boosting Graph Neural Networks via Adaptive Knowledge Distillation". This work proposes a novel knowledge distillation framework for ...
Frontiers

Structural and stability differences among GI norovirus virus-like particles produced in silkworm–baculovirus expression vector system

Norovirus (NoV) is a leading cause of acute gastroenteritis worldwide, with genogroups I and II (GI and GII) most frequently detected. NoV Virus-like particles (VLPs) composed of the major capsid ...