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Found 5 papers, 0 papers with code
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement
SDS boosts GANs with more generative modes, while GANs promote more efficient optimization of SDS.
How COVID-19 has Impacted American Attitudes Toward China: A Study on Twitter
Past research has studied social determinants of attitudes toward foreign countries.
Large-scale Quantitative Evidence of Media Impact on Public Opinion toward China
Do mass media influence people's opinion of other countries?
IMRank: Influence Maximization via Finding Self-Consistent Ranking
Early methods mainly fall into two paradigms with certain benefits and drawbacks: (1)Greedy algorithms, selecting seed nodes one by one, give a guaranteed accuracy relying on the accurate approximation of influence spread with high computational cost; (2)Heuristic algorithms, estimating influence spread using efficient heuristics, have low computational cost but unstable accuracy.
Social and Information Networks Data Structures and Algorithms F.2.2; D.2.8
StaticGreedy: solving the scalability-accuracy dilemma in influence maximization
We point out that the essential reason of the dilemma is the surprising fact that the submodularity, a key requirement of the objective function for a greedy algorithm to approximate the optimum, is not guaranteed in all conventional greedy algorithms in the literature of influence maximization.
Social and Information Networks Data Structures and Algorithms Physics and Society F.2.2; D.2.8
