DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion.
CoRR, April, 2025
RFCSC: Communication efficient reinforcement federated learning with dynamic client selection and adaptive gradient compression.
Neurocomputing, 2025
Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges.
Proceedings of the ACM on Web Conference 2025, 2025
Dynamic Computing First Network Multi-dimensional Resource Collaborative Allocation Based on Federated Segmentation Learning.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
RFDG: Reinforcement Federated Domain Generalization.
IEEE Trans. Knowl. Data Eng., March, 2024
Learning Hierarchy-Aware Federated Graph Embedding for Link Prediction.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024
Public Safety Event Detection Based on Reinforcement Federated Client Selection.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024
Cluster-aware multiplex InfoMax for unsupervised graph representation learning.
Neurocomputing, May, 2023
Topic model based on co-occurrence word networks for unbalanced short text datasets.
CoRR, 2023
Relation Extraction Model Based on Semantic Enhancement Mechanism.
CoRR, 2023
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion.
CoRR, 2023
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network.
CoRR, 2023
Social Network Community Detection Based on Textual Content Similarity and Sentimental Tendency.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
GEMvis: a visual analysis method for the comparison and refinement of graph embedding models.
Vis. Comput., 2022
Predicting vehicle fuel consumption based on multi-view deep neural network.
Neurocomputing, 2022
A scientific research topic trend prediction model based on multi-LSTM and graph convolutional network.
Int. J. Intell. Syst., 2022
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa.
CoRR, 2022
A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network.
CoRR, 2022
Social Network Community Detection Based on Textual Content Similarity and Sentimental Tendency.
CoRR, 2022
Research on Domain Information Mining and Theme Evolution of Scientific Papers.
CoRR, 2022
G-Explorer: a visual exploration and analysis method of subgraph in complex network based on graph embedding.
Commun. Inf. Syst., 2022
Chinese Word Sense Embedding with SememeWSD and Synonym Set.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022
Unsupervised Semantic Representation Learning of Scientific Literature Based on Graph Attention Mechanism and Maximum Mutual Information.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022
A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022
Federated Graph Neural Network for Cross-graph Node Classification.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021
A survey on visualization approaches for exploring association relationships in graph data.
J. Vis., 2019