赵中英

2026

面向共享账户序列推荐的提示增强图注意力网络

《软件学报》

DOI

2026

从分布失衡到质量缺陷：鲁棒图表示学习方法综述

《集成技术》

2026

Ethereum phishing fraud detection via dynamic graph neural network with anonymous walks

Pattern Recognition

DOI

2026

Handling distribution shifts on dynamic graphs via causal invariance principles

Neural Networks

DOI

2026

GraphUAT: An uncertainty-driven pseudo-labeling method for class-imbalanced node classification

Expert systems with applications

DOI

2026

Every bird has its nest: Boosting graph convolutional network via hierarchical learning

Information Processing & Management

DOI

2026

Step Into Balance: A Consistency-Aware and Loose Homophily Guided Generative Method for Class-Imbalanced Graphs

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy

AAAI Conference on Artificial Intelligence

DOI

2026

S²HyRec: Self-Supervised Hypergraph Sequential Recommendation

AAAI Conference on Artificial Intelligence

DOI

2026

Dual-Channel Hybrid Graph Neural Network for Mobility Social Relationship Inference

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence

DOI

2026

Adaptive condensation for graphs: A data-driven coarse-to-fine pruning method

Knowledge-Based Systems

DOI

2026

FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs

AAAI Conference on Artificial Intelligence

DOI

2026

A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures

The Web Conference

DOI

2026

DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification

AAAI Conference on Artificial Intelligence

DOI

2026

Adversarial Masked Graph Modeling for Robust Graph Autoencoders

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence

DOI

2026

Sentiment-aware Rating-based Recommendation via Semantic-enhanced Item Alignment

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence

DOI

2026

Multi-Modal Semantics Enhanced Graph Convolutional Network for Session-Based Recommendation

International Conference on Big Data and Smart Computing

DOI

2026

Mitigating Dynamic Graph Distribution Shifts via Spectral Augmentation

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence

DOI

2026

Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts

The Web Conference

DOI

2026

FusedHGMAE: Frequency-spatial dual-domain guided heterogeneous graph masked autoencoder

Expert systems with applications

DOI

2026

Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method

AAAI Conference on Artificial Intelligence

DOI

2026

M3GAE: Motif-guided multi-view masked graph autoencoder for graph representation learning

Pattern Recognition

DOI

2026

Hessian-Informed Residual Alignment for Heterogeneous Contrastive Graph Condensation

Knowledge-Based Systems

DOI

2026

Contrastive prompt-tuning enhanced graph convolutional network for multi-modal session-based recommendation

Neurocomputing

DOI

2026

Attribute reduction for concept cognition over knowledge graphs

Engineering Applications of Artificial Intelligence

DOI

2026

DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification

Underline Science Inc.

DOI

2026

Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method

Underline Science Inc.

DOI

2026

FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs

Underline Science Inc.

DOI

2026

Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy

Underline Science Inc.

DOI

2026

1241 - Can Pseudo-Label Be More Reliable? A Simple Yet Effective Topology-Aware Graph Self-Training Method

Underline Science Inc.

DOI

2026

S²HyRec: Self-Supervised Hypergraph Sequential Recommendation

Underline Science Inc.

DOI

2025

Improving the quality of Positive and Negative Samples based on Topological Analysis and Counterfactual Reasoning for Graph Contrastive Learning

Expert Systems With Applications，Vol. 277

DOI

2025

Span-level emotion-cause-category triplet extraction via table-filling

Expert Systems With Applications，Vol. 268

DOI

2025

LeDA-GNN: Learnable dual augmentation for graph neural networks

Expert Systems With Applications，Vol. 268

DOI

2025

生成式图自监督学习综述

《集成技术》

2025

ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion

The Web Conference

DOI

2025

Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder

AAAI Conference on Artificial Intelligence

DOI

2025

Reconsidering the interplay between behaviors: A cross-attentive behavior-aware GCN-based recommendation

Pattern Recognition

DOI

2025

NodeHGAE: Node-oriented heterogeneous graph autoencoder

Information Sciences

DOI

2025

CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation

International Joint Conference on Artificial Intelligence

DOI

2025

Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs

International Joint Conference on Artificial Intelligence

DOI

2025

Boosting Performance of Graph Convolutional Networks via Generating Pseudolabels and Feature Interaction

IEEE Transactions on Computational Social Systems

DOI

2025

Inter-Class and Intra-Class Re-Weighting for Topological-Imbalance Graph Neural Networks

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2025

GraphBSSN: A simple yet effective generative method for node classification in class-imbalanced graphs

Knowledge-Based Systems

DOI

2025

Popularity-aware dynamic graph neural collaborative filtering with local-global convergence

Applied Soft Computing

DOI

2025

Encoder augmentation for multi-task graph contrastive learning

Neurocomputing

DOI

2025

MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking

International Joint Conference on Artificial Intelligence

DOI

2025

Local High-order Structure-aware Graph Neural Network for motif prediction

Knowledge-Based Systems

DOI

2025

Fusion3M: Community-based multi-scale co-evolving network for dynamic graph representation learning

Information Fusion

DOI

2024

Higher order heterogeneous graph neural network based on node attribute enhancement

Expert Systems With Applications，Vol. 238

DOI

2024

基于三分支图外部注意力网络的轻量化跨域序列推荐

《计算机研究与发展》

2024

基于图神经网络的协同过滤推荐算法综述

《集成技术》

2024

Multi-Channel Hypergraph Contrastive Learning for Matrix Completion

ACM Trans. Inf. Syst.

DOI

2024

Dual-Channel Multiplex Graph Neural Networks for Recommendation

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

MHGCN+: Multiplex Heterogeneous Graph Convolutional Network

ACM Transactions on Intelligent Systems and Technology

DOI

2024

DGNN-MN: Dynamic Graph Neural Network via memory regenerate and neighbor propagation

Applied intelligence (Boston)

DOI

2024

MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network

Applied intelligence (Boston)

DOI

2024

Towards user-specific multimodal recommendation via cross-modal attention-enhanced graph convolution network

Applied intelligence (Boston)

DOI

2024

Self-supervised progressive graph neural network for enhanced multi-behavior recommendation

International Journal of Machine Learning and Cybernetics

DOI

2024

A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network

IEEE Transactions on Big Data

DOI

2024

Boosting graph contrastive learning via adaptive graph augmentation and topology-feature-level homophily

International Journal of Machine Learning and Cybernetics

DOI

2024

Binary associative memory networks: A review of mathematical framework and capacity analysis

Information Sciences

DOI

2024

HetGNN-TF: Self-supervised Learning on Heterogeneous Graph Neural Network via Topology and Feature Reconstruction

Communications in computer and information science

DOI

2023

OSGNN: Original graph and Subgraph aggregated Graph Neural Network

Expert Systems With Applications，Vol. 225

DOI

2023

Session-based recommendation with hypergraph convolutional networks and sequential information embeddings

Expert Systems With Applications，Vol. 223

DOI

2023

Community detection based on unsupervised attributed network embedding

Expert Systems With Applications，Vol. 213

DOI

2023

Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering

Applied intelligence (Boston)

DOI

2023

BA-GNN: Behavior-aware graph neural network for session-based recommendation

Frontiers of Computer Science

DOI

2023

Heterogeneous graph knowledge distillation neural network incorporating multiple relations and cross-semantic interactions

Information Sciences

DOI

2023

Dual Feature Interaction-Based Graph Convolutional Network

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Self-supervised contrastive learning on heterogeneous graphs with mutual constraints of structure and feature

Information Sciences

DOI

2023

HetReGAT-FC: Heterogeneous Residual Graph Attention Network via Feature Completion

Information Sciences

DOI

2023

HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity

Applied intelligence (Boston)

DOI

2023

AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation

IEEE Transactions on Big Data

DOI

2022

基于Transformer与异质图神经网络的新闻推荐模型

《模式识别与人工智能》

2022

基于多图卷积神经网络和注意力机制的学术新星预测方法

《计算机工程与科学》

2022

属性网络表示学习研究综述

《山东科技大学学报(自然科学版)》

2022

SMGCL: Semi-supervised Multi-view Graph Contrastive Learning

Knowledge-Based Systems

DOI

2022

Deep cognitive diagnosis model for predicting students' performance

Future generations computer systems

DOI

2022

Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

HGNN-ETA: Heterogeneous graph neural network enriched with text attribute

World wide web (Bussum)

DOI

2022

Latent semantic-enhanced discrete hashing for cross-modal retrieval

Applied intelligence (Boston)

DOI

2022

Graph-Augmented Multi-Level Representation Learning for Session-based Recommendation

International Conference on Cloud Computing and Intelligence Systems

DOI

2022

Heterogeneous graph neural network for attribute completion

Knowledge-Based Systems

DOI

2021

基于异质信息网络表示学习与注意力神经网络的推荐算法

《计算机科学》

2021

基于元路径与层次注意力的时序异质信息网络表示学习方法

《模式识别与人工智能》

DOI

2021

网络表示学习方法研究综述

《山东科技大学学报(自然科学版)》

DOI

2021

Sentiment classification based on dependency-relationship embedding and attention mechanism

Journal of Intelligent & Fuzzy Systems

DOI

2021

Learning emotional word embeddings for sentiment analysis

Journal of Intelligent & Fuzzy Systems

DOI

2021

HEPre: Click frequency prediction of applications based on heterogeneous information network embedding

Journal of Intelligent & Fuzzy Systems

DOI

2021

Inductive Representation Learning via CNN for Partially-Unseen Attributed Networks

IEEE Transactions on Network Science and Engineering

DOI

2021

Network Embedding Based Collaborative Filtering Model Equipped With User Purchase Motivation and Potential Interactions

International Conference on Cloud Computing and Intelligence Systems

DOI

2021

DeepEmLAN: Deep embedding learning for attributed networks

Information Sciences

DOI

2021

Correction to: Path-based estimation for link prediction

International Journal of Machine Learning and Cybernetics

DOI

2021

GAR: Graph adversarial representation for adverse drug event detection on Twitter

Applied Soft Computing

DOI

2021

Path-based estimation for link prediction

International Journal of Machine Learning and Cybernetics

DOI

2020

基于依存关系嵌入与条件随机场的商品属性抽取方法

《数据分析与知识发现》，Vol. 4, No. 5

下载原文

2020

GuessUNeed

ACM Trans. Multim. Comput. Commun. Appl.

DOI

2020

HetNERec: Heterogeneous network embedding based recommendation

Knowledge-Based Systems

DOI

2020

A comparative study on heterogeneous information network embeddings

Journal of Intelligent & Fuzzy Systems

DOI

2019

Rank2vec: Learning node embeddings with local structure and global ranking

Expert Systems With Applications，Vol. 136

DOI

2019

轨迹数据融合用户表示方法的重要位置发现

《数据分析与知识发现》，No. 6

下载原文

2019

面向异质信息网络的表示学习方法研究综述

《计算机科学与探索》

2019

An Interpretable and Scalable Recommendation Method Based on Network Embedding

IEEE Access

DOI

2019

Identifying High Influential Users in Social Media by Analyzing Users’ Behaviors

Journal of Intelligent & Fuzzy Systems

DOI

2019

Modeling the Effort and Learning Ability of Students in MOOCs

IEEE Access

DOI

2019

Attention-Based Deep Learning Model for Predicting Collaborations Between Different Research Affiliations

IEEE Access

DOI

2019

Learner2Vec-Based Learner Community Evolution Analysis–A Case Study Involving Student Card Data

IEEE Access

DOI

2019

An incremental method to detect communities in dynamic evolving social networks

Knowledge-Based Systems

DOI

2019

Digital image self-recovery algorithm based on improved joint source-channel coding optimizer

Multimedia Tools and Applications

DOI

2019

Logic Petri Net Synthesis for Cooperative Systems

IEEE Access

DOI

2018

一种面向社区发现的高鲁棒性标签传播算法

《小型微型计算机系统》

2018

A comparative study on community detection methods in complex networks

Journal of Intelligent & Fuzzy Systems

DOI

2018

Identifying advisor-advisee relationships from co-author networks via a novel deep model

Information Sciences

DOI

2017

A system to manage and mine microblogging data

Journal of Intelligent & Fuzzy Systems

DOI

2016

大数据环境下复杂社会网络的社区发现方法研究综述

《软件导刊》

2016

Probability model selection and parameter evolutionary estimation for clustering imbalanced data without sampling

Neurocomputing

DOI

2016

Realtime Channel Recommendation: Switch Smartly While Watching TV

Frontiers in Algorithmics

DOI

2016

サンプリングなしの不均衡データをクラスタ化するための確率モデルの選択とパラメータの進化的推定【Powered by NICT】

2015

Collecting, managing and analyzing social networking data effectively

International Conference on Fuzzy Systems and Knowledge Discovery

DOI

2015

Identifying and Analyzing Popular Phrases Multi-Dimensionally in Social Media Data

International Journal of Data Warehousing and Mining

DOI

2014

A Spatial-Temporal Analysis of Users' Geographical Patterns in Social Media: A Case Study on Microblogs

DASFAA Workshops

DOI

2014

Detecting and Analyzing Influenza Epidemics with Social Media in China

Pacific-Asia Conference on Knowledge Discovery and Data Mining

DOI

2012

Relationships between geographical cluster and cyberspace community: A case study on microblog

GEOINFORMATICS

DOI

2012

A Microscopic Study on Group Dynamics of the Tencent-Microblogs

DOI

2012

Topic oriented community detection through social objects and link analysis in social networks

Knowledge-Based Systems

DOI

2012

Propagation over Microblog

2011

Info-Cluster Based Regional Influence Analysis in Social Networks

Pacific-Asia Conference on Knowledge Discovery and Data Mining

DOI

2010

Personalized Knowledge Acquisition through Interactive Data Analysis in E-learning System

Journal of Computers

DOI

2009

Mining User's Interest from Interactive Behaviors in QA System

2009 First International Workshop on Education Technology and Computer Science

DOI

2008

E-Learning系统中基于课程本体的用户兴趣模型挖掘

《山东科技大学》

2007

Mining User's Interest from Reading Behavior in E-learning System

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

DOI

Efficiently Harmonizing Information Sharing for Heterogeneous Graph Contrastive Learning

Pattern Recognition

DOI

2025

Span-Level Emotion-Cause-Category Triplet Extraction with Instruction Tuning Llms and Data Augmentation

SSRN Electronic Journal

DOI

2025

Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation

arXiv preprint

DOI

2024

UMGAD: Unsupervised Multiplex Graph Anomaly Detection

arXiv preprint

DOI

2024

Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation

arXiv preprint

DOI

2014

Efficiently Detecting Overlapping Communities through Seeding and Semi-Supervised Learning

arXiv preprint

DOI