Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Kevin Chen-Chuan Chang"'
Publikováno v:
International Journal of Health Geographics, Vol 22, Iss 1, Pp 1-16 (2023)
Abstract Background The exponential growth of location-based social media (LBSM) data has ushered in novel prospects for investigating the urban food environment in health geography research. However, previous studies have primarily relied on word di
Externí odkaz:
https://doaj.org/article/629048c0c47f49b2be22add02ed704eb
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:4285-4297
With numerous nodes on online heterogeneous networks, how to reach and extract target nodes of our specic interests is a pressing problem. In this paper, we propose a novel heterogeneous network crawler, MCrawl. It addresses the problem via iterative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2420cb1dc766cc31690a58eec22b3991
https://doi.org/10.1109/tkde.2020.3038458
https://doi.org/10.1109/tkde.2020.3038458
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:1133-1148
The key to the effective control of a diffusion system lies in how accurately we could predict its unfolding dynamics based on the observation of its current state. However, in the real-world applications, it is often infeasible to conduct a timely a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29599f1f8003c37e1c81798b0de29cc4
https://doi.org/10.1109/tpami.2020.3023092
https://doi.org/10.1109/tpami.2020.3023092
Publikováno v:
Proceedings of the VLDB Endowment. 14:1111-1123
Path-based solutions have been shown to be useful for various graph analysis tasks, such as link prediction and graph clustering. However, they are no longer adequate for handling complex and gigantic graphs. Recently, motif-based analysis has attrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f70e7f8f5a01ce1984a66b8293c0d85
https://doi.org/10.14778/3447689.3447714
https://doi.org/10.14778/3447689.3447714
Autor:
Changyu Wang, Pinghui Wang, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan, Jun Liu, Kevin Chen-Chuan Chang
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Among the prohibitively large volume of posts (e.g., tweets in Twitter) on online social networks (OSNs), how to design effective queries to explore the ones of interest is a pressing problem. There are two main challenges to address the problem. Fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9ff1d71b3a270d9d3bdc277331af320
https://doi.org/10.1109/tnnls.2021.3130587
https://doi.org/10.1109/tnnls.2021.3130587
Autor:
Yuan Fang, Wenqing Lin, Vincent W. Zheng, Jiaqi Shi, Kevin Chen-Chuan Chang, Min Wu, Xiaoli Li
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:154-168
Data in the form of graphs are prevalent, ranging from biological and social networks to citation graphs and the Web. In particular, most real-world graphs are heterogeneous, containing objects of multiple types, which present new opportunities for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5466c21fe91516145467d8aaf442b8e4
https://doi.org/10.1109/tkde.2019.2922956
https://doi.org/10.1109/tkde.2019.2922956
Autor:
Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering (ICDE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19b6106daa755f8c8c5a0096c4e2cec5
https://doi.org/10.1109/icde53745.2022.00161
https://doi.org/10.1109/icde53745.2022.00161
Autor:
Luke Browne, Feiyang Ma, Victoria L. Sork, Courtney Horn, Zeynep A Celikkol, Eric Beraut, Rachel S. Meyer, Alayna Mead, Claudia L Henriquez, Kevin Chen-Chuan Chang
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 3, Pp 1019-1028 (2020)
G3: Genes|Genomes|Genetics
G3 (Bethesda, Md.), vol 10, iss 3
G3: Genes|Genomes|Genetics
G3 (Bethesda, Md.), vol 10, iss 3
Epigenetic modifications such as DNA methylation, where methyl groups are added to cytosine base pairs, have the potential to impact phenotypic variation and gene expression, and could influence plant response to changing environments. One way to tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf52dea33033d91a099c77ccdb96e488
http://g3journal.org/lookup/doi/10.1534/g3.119.400770
http://g3journal.org/lookup/doi/10.1534/g3.119.400770
Publikováno v:
Social Network Analysis and Mining. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ead2e735aeb4ec9af9cec63522d6a625
https://doi.org/10.1007/s13278-021-00812-5
https://doi.org/10.1007/s13278-021-00812-5
Publikováno v:
IEEE Computational Intelligence Magazine. 14:39-50
In this paper, we introduce a new setting for graph embedding, which considers embedding communities instead of individual nodes. We find that community embedding is not only useful for community-level applications such as graph visualization but als
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::729454b01256c89d1737cb566bee4da1
https://doi.org/10.1109/mci.2019.2919396
https://doi.org/10.1109/mci.2019.2919396