METHOD AND SYSTEM FOR ASPECT-LEVEL SENTIMENT CLASSIFICATION BY GRAPH DIFFUSION TRANSFORMER

• 1. METHOD AND SYSTEM FOR ASPECT-LEVEL SENTIMENT CLASSIFICATION BY GRAPH DIFFUSION TRANSFORMER [P] . WO2022063057A1 . 2022-03-31

  机译： 基于图扩散变换的方面级情感分类方法与系统

• 2. Sentence sentiment classification system and method based on sentiment dictionary construction by the price fluctuation and convolutional neural network [P] . 韩国专利： KR102086642B1 . 2020-03-09

  机译： 基于价格波动和卷积神经网络的情感词典构建的句子情感分类系统及方法

• 3. Sentence sentiment classification system and method based on sentiment dictionary construction by the price fluctuation and convolutional neural network [P] . 韩国专利： KR20200017568A . 2020-02-19

  机译： 基于价格波动和卷积神经网络的情感词典构建的句子情感分类系统及方法

• 1. Qualitative Algebra and Graph Theory Methods for Dynamic Trend Analysis of Continuous System [J] . 张卫华, 吴重光, 王春利 中国化学工程学报：英文版 . 2011,第002期
• 2. MapReduce based computation of the diffusion method in recommender systems [J] . 彭飞 高技术通讯（英文版） . 2016,第003期
• 3. A Parameter-Uniform Finite Difference Method for a Coupled System of Convection-Diffusion Two-Point Boundary Value Problems [J] . Eugene ORiordan, Jeanne Stynes, Martin Stynes 高等学校计算数学学报（英文版） . 2008,第002期
• 4. Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification [J] . Knowledge-Based Systems . 2020,第Apra6期
• 5. SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification [J] . Zhou Jie, Huang Jimmy Xiangji, Hu Qinmin Vivian, Knowledge-Based Systems . 2020,第Octa12期
• 6. Joint Aspect Discovery, Sentiment Classification, Aspect-Level Ratings and Weights Approximation for Recommender Systems by Rating Supervised Latent Topic Model [J] . Wei Ou, Van-Nam Huynh Journal of Advanced Computatioanl Intelligence and Intelligent Informatics . 2018,第1a128期
• 7. Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification [C] . Xiaochen Hou, Peng Qi, Guangtao Wang, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 2021
• 8. An Application of Graph Diffusion for Gesture Classification [D] . Voisin, Perry Samuel. 2020
• 9. An Interactive Model of Target and Context for Aspect-Level Sentiment Classification [O] . Hu Han, Guoli Liu, Jianwu Dang 2019
• 10. R-Transformer Network Based on Position and Self-Attention Mechanism for Aspect-Level Sentiment Classification [O] . Ziyu Zhou, Fangai Liu, Qianqian Wang 2019
• 11. Variational and PDE-Based Methods for Big Data Analysis, Classification and Image Processing Using Graphs. [R] . Merkurjev, E. 2015

• 1. Modeling Multi-Targets Sentiment Classification via Graph Convolutional Networks and Auxiliary Relation [J] . Ao Feng ,Zhengjie Gao ,Xinyu Song . 计算机、材料和连续体(英文) . 2020,第8期
• 2. Computational Studies of Reaction-Diffusion Systems by Nonlinear Galerkin Method [J] . Miroslav Kolar . 美国计算数学期刊（英文） . 2013,第2期
• 3. Specification of the Real Estate Cycle in China from 1986 to 2008 ——Based on the Diffusion Index Method [C] . Lei Feng ,Xueqin Tan ,Wei Li . The Conference on Web Based Business Management (WBM 2010)(2010年基于互联网的商业管理学术会议) . 2010
• 4. Semi--supervised Node Classification Based On Graph Markov Convolution Neural Network [A] . 顾袁铭 . 2021