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20th ADMA 2024, Sydney, NSW, Australia - Part III
- Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15389, Springer 2025, ISBN 978-981-96-0820-1
Graph Mining
- Chenzhao Wang, Jilian Zhang, Xuyang Liu, Kaimin Wei, Bingwen Feng:
Verifiable Graph-Based Approximate Nearest Neighbor Search. 3-17 - Xilong Guo, Bing Kong:
Depth-Enhanced Contrast Attribute Graph Clustering. 18-33 - Rui Zhang, Wenbo Li, Xiaodong Ning, Dawei Cheng, Li Han, Heguo Yang:
FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection. 34-49 - Xing Su, Yuchen Zhang, Jian Yang, Jia Wu:
Emotion Graph Augmentation for Detecting Fake News in Online Social Networks. 50-65 - Xin Cao, He Luo, Guoqiang Wang, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti:
BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations. 66-81 - Yao Hu, Qian Huang:
RWEM: An In-Memory Random Walk Based Node Embedding Framework on Multiplex User-Item Graphs. 82-97 - Mohammadreza Ghanbari, Saeed Asadi Bagloee, Jianzhong Qi, Majid Sarvi:
Feature-Aware Unsupervised Detection of Important Nodes in Graphs. 98-113 - Junlin Shang, Zhenyu Zhang, Wenwen Qu, Xiaoling Wang:
HHP: A Hybrid Partitioner for Large-Scale Hypergraph. 114-129 - Ci Nie, Yujing Liu, Jian Wei, Guoqiu Wen:
Graph Fusion Based Autoencoder for Node Clustering. 130-145 - Ziyi Zhang, Xu Chen, Hao Huang, Guojia Wan, Xuan Zhou, Shuang Li, Yuhao Lin, Jiawei Jiang:
Regional Food Culture Preference Mining Based on Restaurant POI. 146-160 - Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, Jun Jo, Hongzhi Yin, Thanh Tam Nguyen:
Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs. 161-177 - Yingyue Zhang, Huifang Ma, Di Zhang, Ke Shu, Xiaolong Li:
Graph Contrastive Learning for Dissolved Gas Analysis. 178-190 - Ke Shu, Huifang Ma, Li Yu, Qibin Zhang:
GCS: A Graph-Augmented Semi-supervised Contrastive Learning Approach for Imbalanced Dissolved Gas Analysis in Power Transformers. 191-205 - Kai Chen, Shun Mao, Qiwen Zheng, Yuncheng Jiang:
Contrastive Learning Based on Bipartite Graphs for Interpretable Knowledge Tracing. 206-220 - Zongli Jiang, Chen Feng, Jinli Zhang, Xiaolu Bai:
Graph Data Understanding and Interpretation Enabled by Large Language Models. 221-233 - Xiaoxi Wang, Wei Liu, Chunyang Zheng, Xinyu Liu, Yaqin Cao, Qixu Liu:
SDM-GAT: StylisticFP Detection Method Based on Graph Attention Network. 234-249 - Yuqi Liu, Nannan Wu, Wenjun Wang:
Anomaly Aligned Subgraphs Detection on Multi-layer Attributed Networks. 250-262 - Jingsong Lv, Zhao Li, Hongyang Chen, Ting Li:
Path-Aware Siamese Graph Neural Network for Link Prediction. 263-274 - Longxun Wang, Ziyang Cheng, Mengmeng Yang, Li Han, Dawei Cheng, Li Xie, Huaming Tian:
GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection. 275-290
Spatial Data Mining
- Chao Li, Zixuan Xu, Juntao Gu, Moule Lin, Weipeng Jing:
ESNet: Perceptive Spatial-Spectral Fusion with Multi-stage Reconstruction for Pansharpening. 293-307 - Tianyao Wen, Shengkun Zhu, Yiming Wang, Sheng Wang:
Towards Unified Spatio-Temporal Index for Hybrid Trajectory Search. 308-323 - Haoxi Wang, Junyu Li:
VQPulsar: Pulsar Candidate Analysis via Deep Generative Model. 324-337 - Ying Zhao, Songxu Xu, Jiajia Li, Yu Yang, Jing Zhang, Chengcheng Chen:
Efficient Shortest Time Query in Public Transportation Networks. 338-353 - Sitian Xu, Wei Chen, Lei Zhao:
When Road Networks Make a Difference: User Identity Linkage with Trajectory Data. 354-369 - Yuhao Sun, Hao Peng, Yingjun Chen, Botao Jiang, Shuhai Wang, Yongxin Qiu, Hongkun Wang, Xiong Li:
A Transformer Based Malicious Traffic Detection Method in Android Mobile Networks. 370-385 - Shaolong Zhou, Guoju Gao, Yu-e Sun, He Huang, Yang Du, Yihuai Wang, Jun Lu:
P2S-Sketch: A Sketch Family for Priority-Aware Per-Flow Spread Measurement in Network Data Stream. 386-402 - Xiujuan Xu, RenJie Liu, Jiaxin Ai, Yu Liu, Xiaowei Zhao:
STA: Enhancing Spatio-temporal Crowd Flow Prediction Using Attention-based Deep Learning and Feature Similarity. 403-417 - Xiaoxiao Yang, Ziyu Jia:
Spatial-Temporal Mamba Network for EEG-Based Motor Imagery Classification. 418-432 - Yalun Wu, Qiong Li, Yingxiao Xiang, Jinkai Zheng, Xingyu Wu, Zhen Han, Jiqiang Liu, Wenjia Niu:
Nightfall Deception: A Novel Backdoor Attack on Traffic Sign Recognition Models via Low-Light Data Manipulation. 433-445
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