Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhijie Ban"'
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Autor:
Yinzhe Li, Zhijie Ban
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783030757670
PAKDD (3)
PAKDD (3)
Graph convolution networks (GCN) have recently been one of the most powerful methods in various tasks such as node classification and graph clustering. In the present study, we propose RW-GCN which utilizes biased random walk to assist in feature agg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3bcb59b1021f9325e0c1445222e5e93
https://doi.org/10.1007/978-3-030-75768-7_6
https://doi.org/10.1007/978-3-030-75768-7_6
Autor:
Zhijie Ban, Jiangwen Wang
Publikováno v:
DSC
Finding a subset of users to statistically represent the original social network in terms of attributes has received a lot of attention recently. The existing literature had proved that the problem is NP-Hard and proposed some sampling models, but re
Autor:
Zhijie Ban, Lizhi Zhang
Publikováno v:
Natural Language Processing and Chinese Computing ISBN: 9783030604493
NLPCC (1)
NLPCC (1)
Author name disambiguation has long been viewed as a challenging problem in scientific literature management, and with the substantial growth of the scientific literature, the solution to this problem has become increasingly difficult and urgency. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f850ef2347b5a763c4d7c611a42438dc
https://doi.org/10.1007/978-3-030-60450-9_49
https://doi.org/10.1007/978-3-030-60450-9_49
Autor:
Jinxin Bai, Zhijie Ban
Publikováno v:
ICMLC
Collaborative filtering is widely used in recommendation systems. Hybrid approach has been proposed since the collaborative-based method is susceptible to problems such as sparsity and cold start. Recently, the related methods have pointed out that i
Autor:
Zhijie Ban, Lizhi Zhang
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813292970
Author name ambiguity has long been viewed as a challenging problem in scientific literature management, and in recent years, due to the rapid increase in academic publications, author disambiguation on large-scale academic data has become an urgent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b09d37eb9c4c75af2577066e01811c3
https://doi.org/10.1007/978-981-32-9298-7_12
https://doi.org/10.1007/978-981-32-9298-7_12
Autor:
Jinpeng Chen, Zhijie Ban
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813292970
With the rapid growth of the scholarly literature, finding relevant and influential articles is becoming increasingly important. Research shows that a scholar’s past works represent his latent interests. However, its effectiveness in recommending s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8265af771a027d474d05bd0c938ef0bc
https://doi.org/10.1007/978-981-32-9298-7_14
https://doi.org/10.1007/978-981-32-9298-7_14
Autor:
Xin Ping Zhu, Zhijie Ban
Publikováno v:
AINA
Citation count is an important factor to measure the influence of academic publications. Identifying future citation count in advance can help scientists to find references and research area. There are many academic network features which are related
Autor:
Jinpeng Chen, Zhijie Ban
Publikováno v:
ICIA
Scholarly paper recommendation has been an important research topic in the field of information filtering because scholars find thousands of publications that match their search queries but are largely irrelevant to their latent information needs. Ma
Autor:
Zhijie Ban, Le Liu
Publikováno v:
AINA
Academic expert search is one of the most important issues for mining academic networks. There exist the different types of information (e.g. papers, authors and citations) in an academic network. Different from the traditional academic expert search