Di Jin

Orcid: 0000-0002-7445-9936

Affiliations:
  • Tianjin University, College of Intelligence and Computing, China
  • Jilin University, Changchun, China (former)


According to our database1, Di Jin authored at least 153 papers between 2009 and 2025.

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Bibliography

2025
A unified framework of semi-supervised community detection integrating network topology and node content.
Inf. Sci., 2025

Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks.
Expert Syst. Appl., 2025

2024
TeKo: Text-Rich Graph Neural Networks With External Knowledge.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph.
ACM Trans. Knowl. Discov. Data, June, 2024

Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential Recommendation.
ACM Trans. Web, May, 2024

Contrastive Graph Similarity Networks.
ACM Trans. Web, May, 2024

A Comprehensive Survey on Community Detection With Deep Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study.
IEEE Trans. Comput. Soc. Syst., April, 2024

Adaptive Multi-Channel Deep Graph Neural Networks.
Symmetry, April, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.
Soft Comput., March, 2024

Unsupervised Adaptive Speaker Recognition by Coupling-Regularized Optimal Transport.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Survey of spectral clustering based on graph theory.
Pattern Recognit., 2024

Backdoor attacks on unsupervised graph representation learning.
Neural Networks, 2024

KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction.
Knowl. Based Syst., 2024

ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks.
Appl. Soft Comput., 2024

Generalized Taxonomy-Guided Graph Neural Networks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Joint Domain Adaptive Graph Convolutional Network.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-Modal Sarcasm Detection Based on Dual Generative Processes.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Self-Supervised Domain Exploration with an Optimal Transport Regularization for Open Set Cross-Domain Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning Distinct Relationship in Package Recommendation With Graph Attention Networks.
IEEE Trans. Comput. Soc. Syst., December, 2023

A survey on fairness-aware recommender systems.
Inf. Fusion, December, 2023

Exploring Temporal Community Structure via Network Embedding.
IEEE Trans. Cybern., November, 2023

TMS: Temporal multi-scale in time-delay neural network for speaker verification.
Appl. Intell., November, 2023

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding.
Big Data Res., August, 2023

Self-supervised learning based domain regularization for mask-wearing speaker verification.
Speech Commun., July, 2023

GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs.
IEEE Trans. Knowl. Data Eng., June, 2023

GCN for HIN via Implicit Utilization of Attention and Meta-Paths.
IEEE Trans. Knowl. Data Eng., April, 2023

Embedding text-rich graph neural networks with sequence and topical semantic structures.
Knowl. Inf. Syst., February, 2023

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng., 2023

Adversarial Representation Mechanism Learning for Network Embedding.
IEEE Trans. Knowl. Data Eng., 2023

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.
IEEE Trans. Cybern., 2023

Amer: A New Attribute-Missing Network Embedding Approach.
IEEE Trans. Cybern., 2023

How Matching Theory Enables Multi-access Edge Computing Adaptive Task Scheduling in IIoT.
IEEE Netw., 2023

Knowledge graph completion using topological correlation and multi-perspective independence.
Knowl. Based Syst., 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
CoRR, 2023

Deep Graph Neural Networks via Flexible Subgraph Aggregation.
CoRR, 2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Multi-Intention Oriented Contrastive Learning for Sequential Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.
Proceedings of the Knowledge Science, Engineering and Management, 2023

SOT: Self-supervised Learning-Assisted Optimal Transport for Unsupervised Adaptive Speech Emotion Recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Generalized Deep Markov Random Fields Framework for Fake News Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Contrastive Learning Meets Homophily: Two Birds with One Stone.
Proceedings of the International Conference on Machine Learning, 2023

Optimal Transport with a Diversified Memory Bank for Cross-Domain Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2023

Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Trafformer: Unify Time and Space in Traffic Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Local-Global Defense against Unsupervised Adversarial Attacks on Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model.
IEEE Trans. Cybern., 2022

A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism.
IEEE Trans. Big Data, 2022

Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data.
IEEE Trans. Big Data, 2022

Fast Algorithms for Core Maximization on Large Graphs.
Proc. VLDB Endow., 2022

Guest Editorial: Graph-powered machine learning in future-generation computing systems.
Future Gener. Comput. Syst., 2022

TeKo: Text-Rich Graph Neural Networks with External Knowledge.
CoRR, 2022

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
CoRR, 2022

TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding.
CoRR, 2022

Graph Neural Networks for Graphs with Heterophily: A Survey.
CoRR, 2022

Community Detection in Social Networks Considering Social Behaviors.
IEEE Access, 2022

A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks.
IEEE Access, 2022

Graph Neural Network for Higher-Order Dependency Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Inflation Improves Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Robust Detection of Link Communities With Summary Description in Social Networks.
IEEE Trans. Knowl. Data Eng., 2021

A Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words.
IEEE Signal Process. Lett., 2021

Semi-supervised community detection on attributed networks using non-negative matrix tri-factorization with node popularity.
Frontiers Comput. Sci., 2021

Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.
CoRR, 2021

Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search.
CoRR, 2021

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
CoRR, 2021

Heterogeneous Graph Neural Network via Attribute Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks.
Proceedings of the WSDM '21, 2021

Universal Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-Guided Community Detection on Networks with Missing Edges.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2021

Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Identification of Generalized Semantic Communities in Large Social Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.
IEEE Trans. Knowl. Data Eng., 2020

Modeling with Node Popularities for Autonomous Overlapping Community Detection.
ACM Trans. Intell. Syst. Technol., 2020

ModMRF: A modularity-based Markov Random Field method for community detection.
Neurocomputing, 2020

BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks.
CoRR, 2020

Graph Attention Topic Modeling Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adversarial Mutual Information Learning for Network Embedding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Community-Centric Graph Convolutional Network for Unsupervised Community Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Scalable Community Identification with Manifold Learning on Speaker I-Vector Space.
IEICE Trans. Inf. Syst., 2019

Combination of links and node contents for community discovery using a graph regularization approach.
Future Gener. Comput. Syst., 2019

Morphological Verb-Aware Tibetan Language Model.
IEEE Access, 2019

A Novel Generative Topic Embedding Model by Introducing Network Communities.
Proceedings of the World Wide Web Conference, 2019

A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Topology Optimization based Graph Convolutional Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Capsule Learning for Network Embedding.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Community Detection in Social Networks Considering Topic Correlations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Incorporating Network Embedding into Markov Random Field for Better Community Detection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Adaptive community detection incorporating topology and content in social networks<sup>✰</sup>.
Knowl. Based Syst., 2018

Constrained common cluster based model for community detection in temporal and multiplex networks.
Neurocomputing, 2018

Incorporating network structure with node contents for community detection on large networks using deep learning.
Neurocomputing, 2018

A Unified Weakly Supervised Framework for Community Detection and Semantic Matching.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Robust Detection of Communities with Multi-semantics in Large Attributed Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Autoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Integrative Network Embedding via Deep Joint Reconstruction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Edge Content Enhanced Network Embedding.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Distributed Efficient Provenance-Aware Regular Path Queries on Large RDF Graphs.
Proceedings of the Database Systems for Advanced Applications, 2018

Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Network-Specific Markov Random Field Approach to Community Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Semi-supervised community detection based on non-negative matrix factorization with node popularity.
Inf. Sci., 2017

Tracking and Detecting Dynamic Communities with Node Popularity Preservation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Identification of Generalized Communities with Semantics in Networks with Content.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Using Deep Learning for Community Discovery in Social Networks.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Adaptive Community Detection Incorporating Topology and Content in Social Networks.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.
Knowl. Based Syst., 2016

Semantic Community Identification in Large Attribute Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Detect Overlapping Communities via Ranking Node Popularities.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization.
IEEE Trans. Cybern., 2015

Community detection with manifold learning on speaker i-vector space for Chinese.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Modeling with Node Degree Preservation Can Accurately Find Communities.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
Decentralized mining social network communities with agents.
Math. Comput. Model., 2013

Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks.
Int. J. Comput. Intell. Syst., 2013

Hierarchical community detection with applications to real-world network analysis.
Data Knowl. Eng., 2013

Markov random walk under constraint for discovering overlapping communities in complex networks
CoRR, 2013

Discovering link communities in complex networks by exploiting link dynamics
CoRR, 2013

Dialog Act classification in Chinese spoken language.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks.
Adv. Complex Syst., 2012

2011
Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks.
Adv. Complex Syst., 2011

Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Ant colony optimization for community detection in large-scale complex networks.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
Genetic Algorithm with Local Search for Community Mining in Complex Networks.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Fast Complex Network Clustering Algorithm Using Agents.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009


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