ADMA (3)

Keyphrases

Publications

2023

Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong
Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model. ADMA (3) (2023)
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. ADMA (3) (2023)
Peng Xue, Mengqiu Shao, Xi Zhou, Xiao Shen
Label-Aware Hierarchical Contrastive Domain Adaptation for Cross-Network Node Classification. ADMA (3) (2023)
Zhuoyang Xu, Xuehan Jiang, Siyue Chen, Yue Zhao, Gang Hu, Xingzhi Sun, Guotong Xie
Global Balanced Text Classification for Stable Disease Diagnosis. ADMA (3) (2023)
Hengrui Gu, Ying Wang, Xin Wang
LAGCL: Towards Stable and Automated Graph Contrastive Learning. ADMA (3) (2023)
Tao Qiu, Yuhan Wang, Meng-xiang Wang, Chuanyu Zong, Rui Zhu, Xiufeng Xia
Efficient Regular Path Query Evaluation with Structural Path Constraints. ADMA (3) (2023)
Mengyao Li, Yinghao Song, Long Yan, Hanbin Feng, Yulun Song, Yang Li, Gongju Wang
Pessimistic Adversarially Regularized Learning for Graph Embedding. ADMA (3) (2023)
Yujia Wu, Xin Guo, Yi Wei, Xingli Chen
ParaNet:Parallel Networks with Pre-trained Models for Text Classification. ADMA (3) (2023)
Zhixin Qu, Zixiao Zong, Jianfang Zhang
Learning to Predict Shortest Path Distance. ADMA (3) (2023)
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. ADMA (3) (2023)
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. ADMA (3) (2023)
David Ben-Tovim, Mariusz Bajger, Shaowen Qin
A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs. ADMA (3) (2023)
Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long
Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data. ADMA (3) (2023)
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. ADMA (3) (2023)
Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. ADMA (3) (2023)
Yaru Zhang, Jianbin Qin, Yaoshu Wang, Muhammad Asif Ali, Yan Ji, Rui Mao
TabMentor: Detect Errors on Tabular Data with Noisy Labels. ADMA (3) (2023)
Xudong Liu, Zhaonian Zou
Common-Truss-Based Community Search on Multilayer Graphs. ADMA (3) (2023)
Atharva Tekawade, Suman Banerjee
Dominance Maximization in Uncertain Graphs. ADMA (3) (2023)
Wenhao Li, Junfeng Zhao, Hanqing Gao
A Prompt Tuning Method for Chinese Medical Text Classification. ADMA (3) (2023)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. ADMA (3) (2023)
Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li
HGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning. ADMA (3) (2023)
Jinli Zhang, Zongli Jiang, Chen Li, Zhenbo Wang
Semi-supervised Classification Based on Graph Convolution Encoder Representations from BERT. ADMA (3) (2023)
Lizhi Wang, Xiaolong Zhang, Xiaoli Lin, Jing Hu
Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism. ADMA (3) (2023)
Ganlin Xu, Jianzhou Feng, Qikai Wei
Open Text Classification Based on Dynamic Boundary Balance. ADMA (3) (2023)

volume 14178, 2023

Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part III ADMA (3) 14178 (2023)