Results 71 to 80 of about 720,784 (299)

Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization

Molecular Therapy: Nucleic Acids, 2019
Precision medicine has become a novel and rising concept, which depends much on the identification of individual genomic signatures for different patients.
Na-Na Guan, Yan Zhao, Chun-Chun Wang, Jian-Qiang Li, Xing Chen, Xue Piao   +5 more
doaj   +1 more source

Semantic Consistency Cross-Modal Retrieval With Semi-Supervised Graph Regularization

IEEE Access, 2020
Most of the existing cross-modal retrieval methods make use of labeled data to learn projection matrices for different modal data. These methods usually learn the original semantic space to bridge the heterogeneous gap, ignoring the rich semantic ...
Gongwen Xu, Xiaomei Li, Zhijun Zhang
doaj   +1 more source

Regular embeddings of a graph [PDF]

Pacific Journal of Mathematics, 1983
In this paper we study embeddings of a graph G in Euclidean space R" that are 'regular' in the following sense: given any two distinct vertices u and v of G, the distance between the corresponding points in R" equals a if u and v are adjacent, and equals β otherwise.
openaire   +3 more sources

SCR: Training Graph Neural Networks with Consistency Regularization [PDF]

, 2022
We present the SCR framework for enhancing the training of graph neural networks (GNNs) with consistency regularization. Regularization is a set of strategies used in Machine Learning to reduce overfitting and improve the generalization ability. However,
Cai, Hongyun, Zhang, Chenhui, Dong, Yuxiao, Cheng, Xu, Feng, Wenzheng, Cen, Yukuo, He, Feng, Hou, Zhenyu, He, Yufei, Tang, Jie   +9 more
core  

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Graph-Based Clustering via Group Sparsity and Manifold Regularization

IEEE Access, 2019
Clustering refers to the problem of partitioning data into several groups according to the predefined criterion. Graph-based method is one of main clustering approaches and has been shown impressive performance in many literatures.
Jianyu Miao, Tiejun Yang, Junwei Jin, Lingfeng Niu   +3 more
doaj   +1 more source

Factorizing regular graphs [PDF]

Journal of Combinatorial Theory, Series B, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Multi relational dual attention graph transformer for fine grained sentiment analysis

Scientific Reports
Aspect-Based Sentiment Analysis requires precise identification of sentiment polarity toward specific aspects, demanding robust modeling of syntactic, semantic, and discourse-level dependencies.
Anusha P. Anilkumar, Soo-Kyun Kim, Yeo-Chan Yoon   +2 more
doaj   +1 more source

An Inductive Logistic Matrix Factorization Model for Predicting Drug-Metabolite Association With Vicus Regularization

Frontiers in Microbiology, 2021
Metabolites are closely related to human disease. The interaction between metabolites and drugs has drawn increasing attention in the field of pharmacomicrobiomics.
Yuanyuan Ma, Lifang Liu, Qianjun Chen, Yingjun Ma   +3 more
doaj   +1 more source