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Huaming Wu

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs
Generative Evolutionary Anomaly Detection in Dynamic Networks
Exploring Temporal Community Structure via Network Embedding
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level
Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism
Green Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems
EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments
Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding
DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing
Variational autoencoder based bipartite network embedding by integrating local and global structure

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