Results 41 to 50 of about 1,404 (207)
Deep Learning-Based Community Detection Approach on Multimedia Social Networks
Applied Sciences, 2021 Exploiting multimedia data to analyze social networks has recently become one the most challenging issues for Social Network Analysis (SNA), leading to defining Multimedia Social Networks (MSNs).
Antonino Ferraro +2 more
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, 2023 AbstractWith the development of deep learning on high-order correlations, hypergraph neural networks have received much attention in recent years. Generally, the neural networks on hypergraph can be divided into two categories, including the spectral-based methods and the spatial-based methods.
Qionghai Dai, Yue Gao
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Supervised Reinforcement Session Recommendation Model Based on Dual-Graph Convolution
IEEE Access, 2023 In the field of session-based recommendation by anonymous sessions, the commonly used supervised learning modeling method has the problem of sub-optimal recommendation.
Shunpan Liang +2 more
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Hypergraph Pre-training with Graph Neural Networks
CoRR, 2021 Despite the prevalence of hypergraphs in a variety of high-impact applications, there are relatively few works on hypergraph representation learning, most of which primarily focus on hyperlink prediction, often restricted to the transductive learning setting.
Boxin Du +4 more
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Investigating Hypernode Classification of Complex Systems Based on High-order Graph Neural Networks
Guidance, Navigation and ControlInvestigating latent interactions beyond direct connections is essential for analyzing complex networks. However, traditional graph structures often fail to capture complex relationships, especially in the high-order interactions among multiple ...
Jiawen Chen +3 more
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Multi-Order Hypergraph Convolutional Neural Network for Dynamic Social Recommendation System
IEEE Access, 2022 Recently, online social networks have enriched the users’ lives greatly and social recommendation systems make it easier for users to discover more information that they are interested in.
Yu Wang, Qilong Zhao
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Hyper-Ordinal Pattern: Measuring High-Order Connection Relationship in Brain Disease Networks
IEEE Transactions on Neural Systems and Rehabilitation EngineeringBrain hyper-networks as a kind of hypergraph for brain network analysis, describing the high-order interactions among brain regions, have been extensively utilized in research on brain diseases such as mild cognitive impairment (MCI) and Alzheimer’
Tianyu Du +3 more
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AI Open, 2023 Stock price prediction is challenging in financial investment, with the AI boom leading to increased interest from researchers. Despite these recent advances, many studies are limited to capturing the time series characteristics of price movement via ...
Zhongtian Sun +4 more
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Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
Advanced Science, EarlyView.We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source