PPT-Prediction of Information Cascades via Content and Structure Integrated Whole Graph Embedding

Author : bethany | Published Date : 2024-01-29

Feng Xiaodong Zhao Qihang Liu Zhen Speaker Feng Xiaodong From University of Electronic Science and Technology of China BSMDMA Workshop IJCAI 2019 2019811 Macao

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Prediction of Information Cascades via Content and Structure Integrated Whole Graph Embedding: Transcript

Feng Xiaodong Zhao Qihang Liu Zhen Speaker Feng Xiaodong From University of Electronic Science and Technology of China BSMDMA Workshop IJCAI 2019 2019811 Macao China CONTENT. , . Yinghui Wu, . Ambuj K. Singh, . Xifeng Yan. 1. Inferring the Underlying Structure of Information Cascades. 12-12-2012@ICDM12. Information cascades in social networks. 2. Information propagation in social networks. Xiaokang. Yu. 1. , . Xiaotian. Yin. 2. , Wei Han. 2. , . Jie Gao. 3. , Xianfeng David Gu. 3. 1. Shandong University, PRC. 2. Harvard University. 3. Stony Brook University. 1. Routing in a high genus 3D network. millenium. ?. Sanjeev . Arora. Princeton University &. Center for Computational Intractability. Overview. Last . millenium. : . . Central role of . expansion. and . expanders. Recognizing. A system for distributed graph mining. Carlos Teixeira, Alexandre Fonseca, Marco Serafini, . Georgos Siganos, Mohammed Zaki, Ashraf Aboulnaga. 1. 2. Graph Mining . Algorithms. Finding subgraphs of interest in (labeled) input graphs. Presented . By:. . Rakhee . Barkur. . (1001. 096946. ). rakhee.barkur@mavs.uta.edu. 1. Advisor: Dr. K. R. Rao . Department of Electrical Engineering . University of Texas, Arlington. EE . 5359 Multimedia . Blake Shaw, Tony . Jebara. ICML 2009 (Best Student Paper nominee). Presented by Feng Chen. Outline. Motivation. Solution. Experiments. Conclusion. Motivation. Graphs exist everywhere: web link networks, social networks, molecules networks, . Presented by Alicia Frame. Paper by Manuel Gomez-Rodriguez, Jure . Leskovec. , and Andreas Kraus. Introduction. Network diffusion is an important process – information spread, epidemiology. Challenges:. Outline. Link Analysis Concepts. Metrics for Analyzing Networks. PageRank. HITS. Link Prediction. 2. Link Analysis Concepts. Link. A relationship between two entities. Network or Graph. A collection of entities and links between them. 1COMMUNITYDIRECTIONSKeywordsVisual learning Selfguided learning Concept graphsTracking and assessing practical chemistry skills development practical skills portfoliosNew Directions in the Teaching of Hongwei Wang, . Weijiang. Li, . Xiaomeng. . Jin. , . Kyunghyun. Cho, Heng Ji, Jiawei Han, Martin D. Burke. October 28, 2021. Molecule representation. 2-hydroxypropanoic acid. IUPAC nomenclature. Molecular formula. Sagar. . Samtani. and . Hsinchun. Chen. Artificial Intelligence Lab, The University of Arizona. 1. Outline. Introduction and Background. Autoencoder. : Intuition and Formulation. Autoencoder. Variations: . . Miguel . Andrade. Faculty of Biology, . Johannes Gutenberg University . Institute of Molecular Biology. Mainz, Germany. a. ndrade@uni-mainz.de. Secondary structure prediction. Amino acid sequence -> Secondary structure. Done By. Bidhov. . Bizar,Anik. . Saha,Sarat. . Chandra,Uday. . Gulghane. E0 270 : Machine Learning. Instructor : . Ambedkar. . Dukkipati. TA : Tony. An ‘intelligent’ way of doing data . cleaning. by: R. Yang. ,. . J. Shi. ,. . X. Xiao. ,. . Y. Yang. ,. . J. Liu. ,. . and . S. . Bhowmick. Basic data analytics is easy.. Stock. Profit. Revenue. Market share. Overvalued?. Buy?. TSLA. $721m. $31B.

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