Inf2vec
Web11 jun. 2024 · In addition, the proposed inf2vec modification for influence maximization provides substantial computational advantages in the price of a minuscule loss in the … WebInf2vec: Latent Representation Model for Social Influence Embedding. S Feng, G Cong, A Khan, X Li, Y Liu, YM Chee. 2024 IEEE 34th International Conference on Data Engineering (ICDE), 941-952, 2024. 59: 2024: Measurements, analyses, and insights on the entire ethereum blockchain network.
Inf2vec
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Web11 mei 2024 · Subsequently, we delve into the problem of learning while optimizing the influence spreading which is based on online learning algorithms. Finally, we describe … Web26 mrt. 2024 · Data Eng. 34 ( 11): 5415-5428 ( 2024) [i1] Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang: Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. CoRR abs/2202.13686 ( …
http://hanj.cs.illinois.edu/pdf/wsdm20_cyang.pdf Web2024. Hme: A hyperbolic metric embedding approach for next-poi recommendation. S Feng, LV Tran, G Cong, L Chen, J Li, F Li. Proceedings of the 43rd International ACM SIGIR Conference on Research and …. , 2024. 73. 2024. Inf2vec: Latent representation model for social influence embedding. S Feng, G Cong, A Khan, X Li, Y Liu, YM Chee.
Web25 aug. 2015 · This paper proposes a relaxed learning process of the well-known Independent Cascade model that, rather than attempting to explain exact timestamps of users' infections, focus on infection probabilities knowing sets of previously infected users. Probabilistic cascade models consider information diffusion as an iterative process in … WebDigg 2009 data set Digg2009 data set contains data about stories promoted to Digg's front page over a period of a month in 2009. For each story, we collected the list of all Digg users who have voted for the story up to the time of data collection, and …
WebInf2vec X X DeepCas X X X DeepHawkes X X CYAN-RNN X X TopoLSTM X X X DeepDiffuse X X NDM X X SNIDSA X X X this work X X X X Table 1: Summary of related works. 2.1 Embedding-based Methods Embedding-based methods target on microscopic level pre-dictions by extending IC-model [Kempe et al., 2003] which assumed an …
WebThe first is based on INF2VEC, an unsupervised learning model that embeds influence relationships between nodes from a set of diffusion cascades. We create a new version of the model, based on observations from influence analysis on a large scale dataset, to match the scalability needs and the purpose of influence maximization. switch to use micro sd cardsWebrepresentation model called Inf2vec to learn social influence embedding. The key of Inf2vec model is how to generate influence context, which is a set of users that would … switch to us keyboard windows 10Web26 mei 2024 · The first is based on Inf2vec, an unsupervised learning model that embeds influence relationships between nodes from a set of diffusion cascades. We create a new … switch to user accountWebI have applied the same in fields like biomedical, railways and Finance. Worked as a research intern at Max Planck Institute for Solar System Research, Germany. I have worked in collaboration with Indian Railways in detecting cracks in railway track for preventing accidents. Interested in various fields like Digital logic, deep learning ... switch to us halifaxswitch to utcWeb10 sep. 2024 · Node embedding is a representation learning technique that maps network nodes into lower-dimensional vector space. Embedding nodes into vector space can benefit network analysis tasks, such as community detection, link prediction, and influential node identification, in both calculation and richer application scope. In this paper, we propose … switch to userWebWe develop a new model Inf2vec, which combines both the local influence neighborhood and global user similarity to learn the representations. We conduct extensive experiments on two real-world datasets, and the results indicate that Inf2vec significantly outperforms state-of-the-art baseline algorithms. switch to user ubuntu