Social Media and Online Communities
HGNN-T5 PEGASUS: A Hybrid Approach for Chinese Long Text Summarization
Prompt-based and Two-stage Training for Few-shot Text Classification
A Fine-Grained Image Description Generation Method Based on Joint Objectives
Analyzing Collective Intelligence through Sentiment Networks in Self-Organized Douban Communities
Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encoders
Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks
Incremental Inductive Dynamic Network Community Detection
Er-EIR: A Chinese Question Matching Model based on Word-level and Sentence-level Interaction Features
MOOC dropout prediction using learning process model and LightGBM algorithm
Nonnegative Matrix Factorization Based on Topology-And-Attribute-Matching Degree for Community Detection
Unsupervised Multi-population Evolutionary Algorithm for Community Detection in Attributed Networks
Parallel High Utility Itemset Mining Algorithm on the Spark
ABCD-HN: An Artificial Network Benchmark for Community Detection on Heterogeneous Networks
A Multi-Behavior Recommendation Based on Disentangled Graph Convolutional Networks and Contrastive Learning
How hypergraph-to-graph conversion affects cooperative working visualization: A Multi-metric evaluation
Vessel Traffic Flow Prediction and Analysis Based on Ship Big Data
TGPPN: A Transformer and Graph Neural Network based Point Process Network Model
Dynamic Network Link Prediction Based on Attention and Time Perception
User's Emotional Diffusion and Public Opinion Evolution Under Public Health Emergencies
Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning
Study of Mental Model in Human-Computer Interaction Based on EEG Signal Data
Collaborative Mechanisms, Models, Approaches, Algorithms and Systems
A Scholarly Information Retrieval System Incorporating Recommendation with Semantic Similarity
DAG-based Task Scheduling Optimization in Heterogeneous Distributed Systems
A Distributed Cross-layer Protocol for Sleep Scheduling and Data Aggregation in Wireless Sensor Networks
Time Split Network for Temporal Knowledge Graph Completion
Deep Q-learning Based Circuit Breaking Method for Micro-services in Cloud Native Systems
FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users; Providers and Platform
Accelerating Unsupervised Federated Graph Neural Networks Via Semi-Asynchronous Communication
Life Cycles and Self-organized Criticality of Vietnam Empires: Based on Sandpile Model
Multi-source Autoregressive Entity Linking Based on Generative Method
Improving Voice Style Conversion via Self-Attention VAE with Feature Disentanglement
Deep Reinforcement Learning for Delay and Energy-aware Task Scheduling in Edge Clouds
A Comprehensive Review of the Oversmoothing in Graph Neural Networks
A Foreground Feature Embedding Network for Object Detection in Remote Sensing Images
Visitors Vis: Interactive Mining of Suspected Medical Insurance Fraud Groups
CERender: Real-time Cloud Rendering Based on Cloud-Edge Collaboration
Auxiliary Diagnosis of Pneumonia Based on Convolutional Attention and Parameter Migration
End-to-end Relation-Enhanced Learnable Graph Self-attention Network for Knowledge Graphs Embedding
Research on Signal Detection and System Recognition Techniques in Private Internet of Things
Research on Traffic Flow Prediction and Traffic Light Timing Recommendation Technology Based on Vehicle Data Analysis
Towards Distributed Graph Representation Learning.