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FLINS-ISKE 2026: Sydney, NSW, Australia - Part IV
- Jie Lu
, Javier Montero
Machine Learning and Knowledge Engineering for Decision Making - The 17th International FLINS Conference on Fuzzy Logic for Intelligent Systems and The 21st International Conference on Intelligent Systems and Knowledge Engineering, FLINS-ISKE 2026, Sydney, NSW, Australia, July 15-19, 2026, Proceedings, Part IV. Lecture Notes in Computer Science 16755, Springer 2027, ISBN 978-981-92-2493-7
Graph Neural Networks and Relational Intelligence
- Dang Huu Trong Ho
Self-attentive Sequential Recommendation with User Preference Clustering. 3-14 - Shukun Li, Hang Yu
TGNN: A Teacher-Guided Graph Neural Network Framework for Semi-supervised Learning on Non-stationary Streaming Data. 15-36 - Lijing Huang, Zhengyang Liu
A Semi-supervised Approach with Dual Filters for Graph-Based Fraud Detection. 37-50 - Qiying Li, Tingyi Cai, Ruiting Zhao, Xinyi Li, Ming Li
CEGNN: Cross-Environment Consistent Graph Neural Networks for Robust OOD Generalization. 51-71 - Jingxiao Zhang, Chao Li
Feature Fusion-Based Attribute Graph Clustering. 72-87 - Zonglin Li, Lianbo Tao, Qiaofeng Wu, Ping Deng, Pengfei Zhang, Dexian Wang, Tianrui Li, ShuGuang Yu:
A Deep Non-negative Matrix Factorization Algorithm for Acupuncture Omics Data Clustering. 88-104 - Xingpeng Liu, Sen Wang, Rima Ga, Bing Ma, Jiquan Zhang, Zhijun Tong:
Prediction of Forest-Grassland Fires Based on Graph Attention Mechanism. 105-118 - Chenghao Qiu, Ming Li, Xiaosheng Zhuang:
Decimated Hypergraph Framelets Based on Spline Wavelets Basis. 119-136 - Mingxuan Wang
SPARQ: Graph-Structured Queries Drive GNN Retrieval for Knowledge Graph Question Answering. 137-150 - Zhixiang Xu, Kai Luo, Yuyao Meng, Yunliang Chen
TrustGIM: Trust-aware Core Graph Influence Maximization. 151-183 - Yuyao Meng, Kai Luo, Zhixiang Xu, Yunliang Chen
ProbSparseAtt-Score Based Sparse Scene Graph Generation Model. 184-205 - Yaxi Pan, Jingbo Hou, Wei Huang
TGCRN: Time-Varying Graph Convolutional Recurrent Network for Traffic Flow Prediction. 206-226 - Chaohong Wu, Siling Feng, Shan Xue, Liqi Wang, Weigang Kong:
LLM-Enhanced Multi-granularity Hierarchical Perception in Temporal Knowledge Graph Completion. 227-248 - Dongming Chen
HGCRE: Heterogeneous Graph Representation Learning via Contrastive Learning. 249-264 - Dongming Chen
A Global Path-Aware Graph Neural Network for Link Prediction. 265-290 - Yuxuan Li, Xinzhi Wang
Re-KGR: Mitigating Factual Hallucinations via Hybrid Graph Reasoning and Semantic Refinement. 291-305 - Yuxi Dong, Xiongtao Zhang:
Score: Bursting Dual Heterogeneity with a Semantic-Collaborative Graph Attention Framework for Cross-Domain Sequential Recommendation. 306-325 - Wenhui Guo, Tiantian Zhou, Sihui Li, Hailiang Ye, Feilong Cao:
Interest-Expansion-Based Graph Convolutional Neural Networks for Recommendation. 326-346 - Sihui Li, Qiyang Chen, Wenhui Guo, Hailiang Ye, Feilong Cao:
Boosting Targeted Label Attacks in Graph Neural Networks with Iterative Edge Injection. 347-365 - Du Jin, Mei Yiming, Wan Wangjun, Yu Yang, Qian Fei, Han Jing, Cai Yonghua:
Prediction of Lithium-Ion Battery Defect Events Based on Event Evolution Weighted Graphs. 366-386 - Yu Kong, Yuanyuan Xu, Dong Wen, Yu Zhang, Binghao Li, Wenjie Zhang:
Temporal Bipartite Graph Representation Learning for Behavior Anomaly Detection. 387-410 - Zhihan Xu, Dongqi Wang, Di Wang, Dongming Chen:
HMGTF: A Hierarchical Multi-relational Graph and Text Fusion Model for Social Event Detection. 411-423 - Hongli Wang, Jusheng Mi
Skeleton Granular Ball Spectral Clustering Method. 424-439 - Mingyu Liu, Lixin Cui, Xin Jin, Zhipeng Cui, Lu Bai:
Entropy-Based Graph Embedding for Credit Risk Evaluation Incorporating Sample Correlations. 440-455 - Na Bai, Jian Zhang, Shifei Ding:
Graph Attention Network with Supervision Augmentation for Instrument Recognition. 456-470
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