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ORCID30th DASFAA 2025: Singapore - Part III
- Feida Zhu
, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang:
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part III. Lecture Notes in Computer Science 15988, Springer 2026, ISBN 978-981-95-3905-5
Graph
- Chang Gong, Boyu Yang, Weiguo Zheng, Xing Huang, Weiyi Huang, Jie Wen, Shijie Sun, Bohua Yang:
Scalable GNN Training via Parameter Freeze and Layer Detachment. 3-19 - Haodan Ran, Yang Fang, Jiuyang Tang, Weiming Zhang, Jinzhi Liao, Xiang Zhao:
Dual-Prompting Based Event Anomaly Detection in Dynamic Graphs. 20-36 - Yuxiang Wang, Runhuai Chen, Bin Chen, Zhiyuan Yu, Yuxiang Wang, Tianxing Wu:
STM: A Spatio-Temporal Model for Dynamic Graph Fraud Detection. 37-52 - Shiting Meng, Cairui Yan, Yingyuan Xiao, Wenguang Zheng, Xu Cheng:
ICFF-Net: Interlaced Cross-Attention Feature Fusion Network for Music Genre Classification. 53-69 - Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Structure-Aware Self-supervised Graph Representation Learning. 70-86 - Qiyi Wang, Yinning Shao, Yunlong Ma, Min Liu:
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization. 87-102 - Bin Liang, Yang Liu, Hongru Zhou, Wenjian Xu, Shengfeng He, Shengxin Liu:
Efficient Maximum (α ,β )-Quasi Biclique Computation on Bipartite Graphs. 103-119 - Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He:
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-Wise Multi-view Ensemble Distillation. 120-135 - Yushun Xie, Haiyan Wang, Runnan Tan, Xiangyu Song, Zhaoquan Gu:
An Enhanced Knowledge Graph Embedding for Small-Scale Sparse Knowledge Graph. 136-151 - Ziqi Chen, Chuanqi Tao, Tianzi Zang, Hongjing Guo:
FTDG: Fuzzing-Based Test Data Generation for Deep Neural Networks. 152-168 - Han Wang, Renjie Sun, Yongye Li, Chen Chen, Xiaoyang Wang, Ying Zhang:
Efficient Maximal Frequent Clique Enumeration in Multilayer Networks. 169-185 - Hao Yan, Lei Du, Mengjiao Wang, Xiangyu Song, Yan Jia, Liyi Zeng, Zhaoquan Gu:
ADMatcher: Self-supervised Subgraph Matching via Adaptive Dense-Aware Graph Contrastive Learning. 186-202 - Hongrui Guo, Boyuan Ren, Hongzhi Liu, Tianqi Sun, Zhonghai Wu:
Enterprise Bankruptcy Prediction with Meta-path Denoising and Capsule Network Modeling. 203-218 - Xuqi Mao, Zhenying He, X. Sean Wang:
FHGE: A Fast Heterogeneous Graph Embedding with Ad-Hoc Meta-Paths. 219-235 - Li Lin, Kaiwen Xia, Haotian Shen, Shuai Wang:
CoANBR: A Collaborative Aggregation Model for Next Basket Recommendation with Time-Independent Sequence Modeling. 236-252 - Yang Xiang, Li Fan, Tulika Saha, Xiaoying Pang, Yushan Pan, Haiyang Zhang, Chengtao Ji:
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment. 253-263 - Yibowen Zhao, Yonghui Xu, Yu Zhang, Qingzhong Li, Xudong Lu, Wei He, Lizhen Cui:
Meta Relation Assisted Explanatory Model for Heterogeneous Graph Neural Networks. 264-274 - Youmin Zhang, Qun Liu, Guoyin Wang, Lili Yang, Li Liu:
Enhancing Explanations of Graph Neural Networks via Bridging Model-Level and Instance-Level Explainers. 275-285 - Chang Liu, Zengyi Wo, Minglai Shao, Wenjun Wang, Qin Tian:
Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning. 286-296 - Zhiqiu Yuan, Youhuan Li, Lei Zou, Linglin Yang:
ShareDP: Finding k Disjoint Paths for Multiple Vertex Pairs. 297-306 - Hongxiao Fei, Jinqi Hu, Liu Yang, Tingxuan Chen, Huayou Su, Zanqun Liu:
Heterogeneous Feature-Aware Graph Neural Network for Tabular Data. 307-316 - Longwen Wang, Jianchun Liu, Xianjun Gao, Zhi Liu, Jinyang Huang:
Tackling Non-IID Graphs via Decoupled Structure and Feature in Federated Graph Learning. 317-326 - Ningbo Huang, Gang Zhou, Meng Zhang, Shiyu Wang, Shunhang Li:
Structural Denoising Contrastive Self-supervised Graph Meta-learning. 327-337 - Yuqing Li, Yuting Wei, Yangfu Zhu, Bin Wu:
Sketch-Based Poetry Retrieval with Unsupervised Vision-and-Language Pre-training. 338-348 - Yiqi Wang, Chaozhuo Li, Jianan Zhao, Rui Li:
Test-Time Training for Graph Neural Networks. 349-364 - Yang Liu, Zikun Zhang, Xiang Ao, Lingxiang Tian, Qing He:
OFTEN: Graph Invariant Learning via Soft Environment Inference. 365-375 - Jiachen Ma, Jing Dai, Wei Zhang, Yong Liu:
Resolving Embedding-Ignoring Conflict in Graph Contrastive Learning-Based Rumor Detection. 376-385 - Qingyu Zhang, Min Hu, Wenlong Fei, Xiaohua Wang, Hongbo Li:
REKGC: Learning Re-coupled Representations for Knowledge Graph Completion. 386-396
Knowledge Graph
- Rushan Geng, Cuicui Luo:
TCompoundQ: Translation, Rotation, and Scaling in Quaternion Vector Space for Temporal Knowledge Graph Completion. 399-414 - Yirui Ma, Qian Zhou, Wei Chen, Xi Chen, Xiaofang Zhang, Lei Zhao:
Image Attribute Completion: A Novel Task for Multi-modal Knowledge Graph. 415-430 - Xinzhe Zhao, Bohan Li, Junnan Zhuo, Wenlong Wu, Ruilong Huang, Yuanrui Liu, Haofen Wang, Hua Dai, Quoc Viet Hung Nguyen:
HBS-KGLLM: A General Framework for Generating Knowledge Graphs for Jailbreaking. 431-446 - Hui Zhao, Yanze Wang, Jun Sun:
Crafting Global Information in Mini-Batches for Knowledge Tracing. 447-462 - Jingwei Cheng, Xihao Wang, Fu Zhang:
A Dual-Task Learning Model for Temporal Knowledge Graph Entity Alignment. 463-478 - Guanglin Niu, Xiaowei Zhang:
Diffusion-Based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion. 479-495 - Yongtao Tang, Shasha Li, Jun Ma, Bin Ji, Xiaodong Liu, Jie Yu:
Cross-Modal Reasoning-Based Unsupervised Multi-modal Entity Linking. 496-505
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