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19th ADMA 2023, Shenyang, China - Volume 3
- Xiaochun Yang, Heru Suhartanto, Guoren Wang, Bin Wang, Jing Jiang, Bing Li, Huaijie Zhu, Ningning Cui:
Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14178, Springer 2023, ISBN 978-3-031-46670-0
Pharmaceutical Data Analysis
- Lizhi Wang, Xiaolong Zhang, Xiaoli Lin, Jing Hu:
Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism. 3-17 - Yang Wang, Xueping Peng
, Tao Shen, Allison Clarke, Clement Schlegel, Paul Martin, Guodong Long:
Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding. 18-32 - Di Zhu, Yi Liu, Weitong Chen, Yanda Wang, Yefan Huang, Xiaoli Wang, Ken Cai, Bohan Li:
Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction. 33-47 - Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. 48-62 - Leah Gerrard, Xueping Peng
, Allison Clarke, Guodong Long:
Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data. 63-78 - Qing Li, Haixing Dai, Jinglei Lv
, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu:
Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. 79-91 - David Ben-Tovim, Mariusz Bajger
, Shaowen Qin
:
A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs. 92-102 - Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai:
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. 103-117
Text Classification
- Yujia Wu, Xin Guo, Yi Wei, Xingli Chen:
ParaNet:Parallel Networks with Pre-trained Models for Text Classification. 121-135 - Ganlin Xu, Jianzhou Feng, Qikai Wei:
Open Text Classification Based on Dynamic Boundary Balance. 136-150 - Wenhao Li
, Junfeng Zhao, Hanqing Gao:
A Prompt Tuning Method for Chinese Medical Text Classification. 151-166 - Yaru Zhang, Jianbin Qin, Yaoshu Wang, Muhammad Asif Ali, Yan Ji, Rui Mao:
TabMentor: Detect Errors on Tabular Data with Noisy Labels. 167-182 - Peng Xue, Mengqiu Shao, Xi Zhou, Xiao Shen:
Label-Aware Hierarchical Contrastive Domain Adaptation for Cross-Network Node Classification. 183-198 - Jinli Zhang, Zongli Jiang, Chen Li, Zhenbo Wang:
Semi-supervised Classification Based on Graph Convolution Encoder Representations from BERT. 199-213 - Zhuoyang Xu, Xuehan Jiang, Siyue Chen, Yue Zhao, Gang Hu, Xingzhi Sun, Guotong Xie:
Global Balanced Text Classification for Stable Disease Diagnosis. 214-228
Graph
- Atharva Tekawade, Suman Banerjee:
Dominance Maximization in Uncertain Graphs. 231-246 - Hengrui Gu, Ying Wang, Xin Wang
:
LAGCL: Towards Stable and Automated Graph Contrastive Learning. 247-260 - Fu Lin, Xuexiong Luo, Jia Wu
, Jian Yang
, Shan Xue
, Zitong Wang, Haonan Gong:
Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model. 261-276 - Xudong Liu
, Zhaonian Zou
:
Common-Truss-Based Community Search on Multilayer Graphs. 277-291 - Zhixin Qu, Zixiao Zong, Jianfang Zhang:
Learning to Predict Shortest Path Distance. 292-307 - Tao Qiu, Yuhan Wang, Meng-xiang Wang, Chuanyu Zong, Rui Zhu, Xiufeng Xia:
Efficient Regular Path Query Evaluation with Structural Path Constraints. 308-322 - Siqi Xia
, Sutharshan Rajasegarar
, Christopher Leckie
, Sarah M. Erfani
, Jeffrey Chan
, Lei Pan
:
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. 323-337 - Mengyao Li
, Yinghao Song
, Long Yan, Hanbin Feng, Yulun Song, Yang Li, Gongju Wang
:
Pessimistic Adversarially Regularized Learning for Graph Embedding. 338-351 - Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li:
M2HGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning. 352-367
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