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ORCID12th ICBK 2021: Auckland, New Zealand
- Lei Chen, Baltasar Fernández-Manjón:
2021 IEEE International Conference on Big Knowledge, ICBK 2021, Auckland, New Zealand, December 7-8, 2021. IEEE 2021, ISBN 978-1-6654-3859-9
Keynote
- Alan Bundy, Kwabena Nuamah
:
Combining Deductive and Statistical Explanations in the FRANK Query Answering System. 1-6
Track 1: Machine Learning and Knowledge Graphs
- Yi Zhu, Bingbing Dong, Zhiqing Sha:
Personalized Recommendation Based On Entity Attributes and Graph Features. 7-14 - Yuxun Lu, Ryutaro Ichise:
Unsupervised Type Constraint Inference in Bilinear Knowledge Graph Completion Models. 15-22 - Kang Yan, Jian Lu, Qingren Wang, Wei Li:
A Novel Homophily-aware Correction Approach for Crowdsourced Labels Using Information Entropy. 23-29 - Durga Prasad Ganta, Himel Das Gupta, Victor S. Sheng:
Knowledge Distillation via Weighted Ensemble of Teaching Assistants. 30-37 - Divya Gangwani, Qianxin Liang, Shuwen Wang, Xingquan Zhu:
An Empirical Study of Deep Learning Frameworks for Melanoma Cancer Detection using Transfer Learning and Data Augmentation. 38-45 - Wentao Hu, Shuai Yang, Xianjie Guo, Kui Yu:
Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests. 46-53 - Shujing Ke, Pieter Spronck, Ben Goertzel, Alex Van der Peet:
Surprisingness - A Novel Objective Interestingness Measure in Hypergraph Pattern Mining from Knowledge Graphs for Common Sense Learning. 54-61 - Guixian Zhang, Boyan Chen, Lijuan Wu, Kui Zhang, Shichao Zhang:
Aggregation Enhanced Graph Convolutional Network for Graph Classification. 62-69 - Md. Motaher Hossain, Youxi Wu, Philippe Fournier-Viger, Zhao Li, Lei Guo, Yan Li:
HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining. 70-77 - Runnan Tan, Qingfeng Tan, Peng Zhang, Zhao Li:
Graph Neural Network for Ethereum Fraud Detection. 78-85 - Gui-Lin Li, Heng-Ru Zhang, Yuanyuan Xu, Ya-Lan Lv, Fan Min:
Label Distribution Learning by Exploiting Feature-Label Correlations Locally. 86-93 - Yujie Wang, Shuai Yang, Xianjie Guo, Kui Yu:
Improving Gradient-based DAG Learning by Structural Asymmetry. 94-101 - Haixia Zhao, Guliu Liu, Lei Li, Jiao Li:
Intuitionistic Fuzzy Requirements Aggregation for Graph Pattern Matching with Group Decision Makers. 102-109 - Ru Wang, Meng Wu, Shengwei Ji:
Meta-path Enhanced Knowledge Graph Convolutional Network for Recommender Systems. 110-116 - Nan Xu, Nitin Kamra, Yan Liu:
Treatment Recommendation with Preference-based Reinforcement Learning. 117-124 - Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. 125-132
Track 2: Machine Learning for Streaming Data
- Ze Yang, Changyang Tai, Gongqing Wu, Zan Zhang, Xianyu Bao:
MTSC-GE: A Novel Graph based Method for Multivariate Time Series Clustering. 133-140 - Changyang Tai, Ze Yang, Huicheng Zhang, Gongqing Wu, Junwei Lv, Xianyu Bao:
Gaussian Model-Based Fully Convolutional Networks for Multivariate Time Series Classification. 141-148 - Xiulin Zheng, Peipei Li:
An Efficient Framework for Multi-Label Learning in Non-stationary Data Stream. 149-156 - Yan Yu, Dong Qiu, Ruiteng Yan:
An efficient framework for sentence similarity inspired by quantum computing. 157-163 - Zhong Chen, Zhide Fang, Victor S. Sheng, Andrea Edwards, Kun Zhang:
CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data. 164-173 - Chenyu Cao, Chenghao Yan, Fangtao Li, Zihe Liu, Zheng Wang, Bin Wu:
Recognizing Characters and Relationships from Videos via Spatial-Temporal and Multimodal Cues. 174-181 - Kentaro Ohno, Atsutoshi Kumagai:
Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation. 182-189 - Xikun Huang, Chuanqing Wang, Qilin Sun, Yangyang Li, Weizhuo Li:
Temporal Analysis of Knowledge Networks. 190-197
Track 3: Reasoning with Knowledge Graphs
- Wei Qin, Xiangfeng Luo, Hao Wang:
Implicit Business Competitor Inference Using Heterogeneous Knowledge Graph. 198-205 - Liangzhu Zhou, Xingrui Zhuo, Gongqing Wu, Zan Zhang, Xianyu Bao:
Research on Crowdsourcing Truth Inference Method Based on Graph Embedding. 206-213 - Xiuxing Li, Zhenyu Li, Zhichao Duan, Jiacheng Xu, Ning Liu, Jianyong Wang:
Jointly Modeling Fact Triples and Text Information for Knowledge Base Completion. 214-221 - Ru Chen, Guliu Liu, Yi Zhu, Xindong Wu:
A Scheme for Kinship Reasoning based on Ontology. 222-229 - Huan Zhang, Songmao Zhang:
A divide-and-conquer method for computing preferred extensions of argumentation frameworks. 230-236
Track 4: Knowledge Graph Analytics and Applications
- Wei Emma Zhang, Queen Nguyen:
Constructing COVID-19 Knowledge Graph from A Large Corpus of Scientific Articles. 237-244 - Ruqian Lu, Chaoqun Fei, Chuanqing Wang, Yu Huang, Songmao Zhang:
YABKO-Yet Another Big Knowledge Organization. 245-252 - Riddho Ridwanul Haque, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
UFreS: A New Technique for Discovering Frequent Subgraph Patterns in Uncertain Graph Databases. 253-260 - Evan Shieh, Saul Simhon, Geetha Aluri, Georgios Papachristoudis, Doa Yakut, Dhanya Raghu:
Attribute Similarity and Relevance-Based Product Schema Matching for Targeted Catalog Enrichment. 261-270 - Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor:
DiffXtract: Joint Discriminative Product Attribute-Value Extraction. 271-280
Track 5: Knowledge Graphs and NLP
- Yin Wang, Nan Xia, Xiangfeng Luo, Jinhui Li:
Global Semantics with Boundary Constraint Knowledge Graph for Chinese Financial Event Detection. 281-289 - Wenwu Zhi, Yuhong Zhang:
A Semi-supervised Bilingual Lexicon Induction Method for Distant Language Pairs Based on Bidirectional Adversarial Model. 290-297 - Mei Ma, Jianji Wang, Xuguang Lan, Nanning Zheng:
Multi-level Spatio-temporal Matching Network for Multi-turn Response Selection in Retrieval-based Dialogue Systems. 298-306 - Wei Nong, Taolin Zhang, Shuangji Yang, Nan Hu, Xiaofeng He:
HfGCN: Hierarchical fused GCN for Joint Entity and Relation Extraction. 307-314 - Weichen Li, Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Topic-Guided Knowledge Graph Construction for Argument Mining. 315-322 - Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. 323-330 - Joseph Kuebler, Lingbo Tong, Meng Jiang:
Multi-Round Parsing-based Multiword Rules for Scientific Knowledge Extraction. 331-338 - Zhichao Duan, Xiuxing Li, Zhengyan Zhang, Zhenyu Li, Ning Liu, Jianyong Wang:
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering. 339-346 - Xiao Zhang, Heqi Zheng, Heyan Huang, Zewen Chi, Xian-Ling Mao:
A Knowledge Enhanced Chinese GaoKao Reading Comprehension Method. 347-352
Track 6: Social Network and Representation Learning
- Fanghui Bi, Di Wu:
A Proximal Alternating-direction-method-of-multipliers-based Nonnegative Latent Factor Model. 353-360 - Peng Zhang, Yi He, Di Wu:
An Ensemble Latent Factor Model for Highly Accurate Web Service QoS Prediction. 361-368 - Xiyu Qiao, Yuliang Ma, Ye Yuan, Xiangmin Zhou:
Influence Maximization Using User Connectivity Guarantee in Social Networks. 369-376 - Yushi Hirose, Masashi Shimbo, Taro Watanabe:
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding. 377-384 - Bingke Xu, Yue Cui, Zipeng Sun, Liwei Deng, Kai Zheng:
Fair Representation Learning in Knowledge-aware Recommendation. 385-392 - Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu:
Learning Dynamic Preference Structure Embedding From Temporal Networks. 393-401
Track 7: Knowledge Graphs for Education
- Hongxuan Li, Bifan Wei, Jun Liu, Zhaotong Guo, Jingchao Qi, Bei Wu, Yong Liu, Yuanyuan Shi:
ToFM: Topic-specific Facet Mining by Facet Propagation within Clusters. 402-409 - Hongwei Zeng, Zhenjie Hong, Jun Liu, Bifan Wei:
Multi-task Learning for Multi-turn Dialogue Generation with Topic Drift Modeling. 410-417 - Wenjun Wu, Lingling Zhang, Yiwei Chen, Xuan Luo, Bifan Wei, Jun Liu:
Fuzzy c-Means Clustering with Discriminative Projection. 418-425 - Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su:
Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System. 426-433
Track 8: Operations Research, Optimisation and Machine Learning
- Wei Song, Wei Ye:
Mining Unexpected Sequential Patterns from MOOC Data. 434-439 - Jiancheng Du, Yang Gao:
Query-focused Abstractive Summarization via Question-answering Model. 440-447 - Jaber Valizadeh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
A Robust Mathematical Model for Blood Supply Chain Network using Game Theory. 448-453 - Panpan Lei, Xiao Sun:
Answer-Centric Local and Global Information Fusion for Conversational Question Generation. 454-461 - Shigang Yang, Yongguo Liu:
A Character-Word Graph Attention Networks for Chinese Text Classification. 462-469 - Miao Wu, Shulin Pan, Fan Min:
A Genetic Algorithm for Residual Static Correction. 470-476 - Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
A survey on Optimisation-based Semi-supervised Clustering Methods. 477-481 - Yuxin He, Xianling Mao, Wei Wei, Heyan Huang:
Question-formed Query Suggestion. 482-489 - Liuqi Jin, Yan Pan, Jiaoyun Yang, Lin Han, Lin Lv, Miki Raviv, Ning An:
Intervention Prediction for Patients with Pressure Injury Using Random Forest. 490-496
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