4 papers
Online Adversarial Knowledge Distillation for Graph Neural Networks
Can Wang, Zhe Wang, Defang Chen +3
Knowledge distillation, a technique recently gaining popularity for enhancing model generalization in Convolutional Neural Networks (CNNs), operates under the assumption that both…
Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing
Qihao Shi, Wenjie Tian, Wujian Yang +3
In this paper, we propose a new influence spread model, namely, Complementary\&Competitive Independent Cascade (CIC) model. CIC model generalizes three well known influence…
A Geometric Perspective on Diffusion Models
Defang Chen, Zhenyu Zhou, Jian-Ping Mei +3
Recent years have witnessed significant progress in developing effective training and fast sampling techniques for diffusion models. A remarkable advancement is the use of stochast…
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
Yichen Liu, Jiawei Chen, Defang Chen +3
Knowledge Graph Embedding (KGE), which projects entities and relations into continuous vector spaces, has garnered significant attention. Although high-dimensional KGE methods offe…