Due to the current situation of COVID-19, the organizing committee decided to hold the 13th IEEE International Conference on Knowledge Graph (ICKG-2022) online. Please refer to the attachment (ICKG-programme.pdf) for the detailed schedule of the conference, or view this page online.
Conference Program
ICKG 2022 will take place from November 31 to December 1, 2022 (Scheduled in Beijing/ Hong Kong Time)
Important information for authors:
– each session has a session chair, includes several presentations, and runs for no more than three hours;
– each paper (full or short) is given 15 minutes for presentation (12 mins for presentation, 3 mins for Q/A);
– live presentation is preferred instead of video;
– each presenting author will share his/her presentation file during the Voov/Tencent meeting session, no need to submit the PPT file to the conference before the session;
– session chairs will monitor and coordinate the presentation times, and the Q/A process.
Conference Program
IEEE ICBK2022 Programme (Online)
November 30 – December 1, 2022
Scheduled in Beijing/Hong Kong Time
Sessions: ICKG2022-Session K1, K2, A1, A2
Meeting time：2022/11/30 08:45-18:45 (GMT+08:00) Beijing Time
Period：2022/11/30-2022/12/01 08:45-18:45
#Tencent Meeting ID：798-6774-1193
#Tencent Meeting: https://meeting.tencent.com/dm/G8QIhhhkYWJP
Sessions: ICKG2022-Session B1, B2
Meeting time：2022/11/30 08:45-18:45 (GMT+08:00) Beijing Time
Period：2022/11/30-2022/12/01 08:00-18:45
#Tencent Meeting ID：857-294-533
#Tencent Meeting:
https://meeting.tencent.com/dm/VMGBWev2OwXd
Tips: you can participate in the online ICKG2022 conference as follows.
1)
If you are not in China, please download the voov meeting software (International version of the Tencent meeting).
https://voovmeeting.com/download-center.html?from=1002
Otherwise, you can use the Tencent meeting software (Domestic version).
https://meeting.tencent.com/download/
2)
After a simple registration (such as using your mobile phone number), please input the #Tencent Meeting ID mentioned for each session in the schedule, then you can enter the online meeting.
Day 1: November 30, 2022 (Beijing/Hong Kong Time) | ||
Opening and Keynote Session K1 (09:00 – 11:30) | ||
09:00 – 09:30 | Opening Session | Chair: Xindong Wu |
09:30 – 10:30 | Keynote Speech 1 (K1) | Approaches to Distributed RDF Data Management and SPARQL Processing (M. Tamer Özsu, University of Waterloo) |
Parallel Session A1 (10:30 – 12:00, November 30), Chair: Nitesh Chawla | ||||
Machine Learning and Knowledge Graphs | ||||
| Beijing/Hong Kong Time | PaperId | Author | Title |
1 | 10:30-10:45 | DM789 | Soji Adeshina, Min Chen, Rizal Fathony, Jian Zhang, Muhyun Kim, Advitiya Vashist, Jenn Ng, Jia Chen, and George Karypis | Scalable Inductive Initialization for Heterogeneous Graph Neural Networks |
2 | 10:45-11:00 | DM545 | Morteza Mohammady Gharasuie and Fengjiao Wang | Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain |
3 | 11:00-11:15 | KG212 | Irene Kilanioti and George Angelos Papadopoulos | An efficient storage scheme for Sustainable Development Goals data over distributed knowledge graph stores |
4 | 11:15-11:30 | KG217 | Cihan Ulus, Zhiqiang Wang, Sheikh Muhammad Asher Iqbal, Salman Khan, and Xingquan Zhu | AstNB: Augmentation and Stacking Transfer Na¨ıve Bayes Learning for SMS Spam Detection |
5 | 11:30-11:45 | DM1025
| Hyung-Jin Yoon and Petros Voulgaris | Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local |
6 | 11:45-12:00 | DM788 | Tracey Etheridge, Guang Lu, and Janna Lipenkova | Distilling Business Value from COVID‐19 Public Media Dataset with Machine Learning and Natural Language Processing |
Parallel Session A2 (14:00 – 17:30, November 30) Afternoon, Chair: Kui Yu | ||||
Knowledge Graphs and NLP | ||||
| Beijing/Hong Kong Time | PaperId | Author | Title |
1 | 14:00-14:15 | DM673 | Ruijun Sun, Zhi Li, Qi Liu, Zhefeng Wang, Xinyu Duan, Baoxing Huai, and Nicholas Jing Yuan | Multi-Sentence Matching via Exploiting List-level Semantics Expansion |
2 | 14:15-14:30 | KG210 | Yuhang Ge and Xuegang Hu | Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization |
3 | 14:30-14:45 | KG213 | Meiling Li, Hezi Liu, Bin Wu, and Ting Bai | Language Style Matters: Personality Prediction from Textual Styles Learning |
4 | 14:45-15:00 | KG215 | Gongqing Wu, Zhenya Lu, Zhuochun Miao, Xingrui Zhuo, and Zan Zhang | Label Enhanced Event Detection with Collective Knowledge and Heterogeneous Graph |
5 | 15:15-15:30 | KG216 | Chenchen Sun, Xingrui Zhuo, Zhenya Lu, Chenyang Bu, and Gongqing Wu | Deep Semantic-Enhanced Event Detection via Symmetric Graph Convolutional Network |
6 | 15:30-15:45 | KG219 | Xuexue Zang, Fei Xie, and Fuliang Weng | Foreign Accent Conversion using Concentrated Attention |
Parallel Session B1 (10:30 – 12:00, November 30), Chair: Zeyi Sun | ||||
Machine Learning for Time Series and Visualization | ||||
| Beijing/Hong Kong Time | PaperId | Author | Title |
1 | 10:30-10:45 | DM276 | Xiaohu Xie, Reza Madankan, and Kairui Wu | Inference Calibration of Neural Network Models |
2 | 10:45-11:00 | DM336 | Anowarul Kabir and Amarda Shehu | Sequence-Structure Embeddings via Protein Language Models Improve on Prediction Tasks |
3 | 11:00-11:15 | DM377 | Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, and Eamonn Keogh | Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series |
4 | 11:15-11:30 | DM496 | Alexander Becker and Thomas Liebig | Certified Data Removal in Sum-Product Networks |
5 | 11:15-11:45 | DM574
| Georgios Mavroudeas, Malik Magdon-Ismail, Kristin Bennett, and Xiao Shou | HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management |
6 | 11:45-12:00 | DM838 | Carina Newen and Emmanuel Muller | Unsupervised DeepView: Uncertainty Visualization of High Dimensional Data |
7 | 12:00-12:15 | DM392 | Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, and Akinori Asahar | QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting
|
Parallel Session B2 (14:00 – 17:30, November 30) Afternoon, Chair: Peipei Li
| ||||
Representation Learning, Semi-supervised Learning and Application
| ||||
| Beijing/Hong Kong Time
| PaperId
| Author
| Title
|
1
| 14:00-14:15
| KG201
| Nianshang Tian, Ming Wu, Jiqiong Jiang, and Jing Zhang
| Learning from Crowds with Mutual Correction-Based Co-Training
|
2
| 14:15-14:30
| KG202
| Zhenyu Zhang, Lin Zhao, Dongyang Cai, Shuming Feng, Jiawei Miao, Haicheng Tao, and Jie Cao
| Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning
|
3
| 14:30-14:45
| KG224
| Yijun Wang and Kaibo Xu
| Multi-Kernel-FM: A Multi-Embedding & Kernelization Factorization Machine Framework for CTR Prediction
|
4
| 14:45-15:00
| DM341
| Qizheng Pan, Ming Yan, Guoqi Li, and Ying Ma
| Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification
|
5
| 15:00-15:15
| DM588
| Hao Chen, Victor Sheng, Chenyang Bu, Shengwei Ji, Zan Zhang, and Xindong Wu
| HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets
|
6
| 15:15-15:30
| DM646
| Nannan Wu, Ning Zhang, Qingcheng Lu, Jie Zhang, Wenjun Wang, Ying Sun, and Siddharth Bhatia
| Multiple anomaly alignments on network traffics
|
Day 2: December 1, 2022 (Beijing/Hong Kong Time) | ||
Keynote Session K2 (09:00 – 12:00, December 1, 2022) Chair: Ronen Feldman | ||
09:00 – 10:00 | Keynote Speech 2 (K2) | Towards Natural User Interaction (Yuanchun Shi, Tsinghua University) |
Parallel Session A1 (10:00 – 12:00), Chair: Ronen Feldman | ||||||
Reasoning with Knowledge Graphs, Domain Knowledge Graphs, Knowledge Graph Analytics and Applications | ||||||
| Beijing/Hong Kong Time | PaperId | Author | Title | ||
1 | 10:00-10:15 | KG203 | Fausto Giunchiglia, Vincenzo Maltese, Amarsanaa Ganbold, and Alessio Zamboni | An architecture and a methodology enabling interoperability within and across Universities | ||
2 | 10:15-10:30 | KG205 | Anahita Pakiman and Jochen Garcke | Graph Modeling in Computer Assisted Automotive Development | ||
3 | 10:30-10:45 | KG206 | Akshay Shah, Bonaventure Molokwu, and Ziad Kobti | HTransE: Hybrid Translation-based Embedding for Knowledge Graphs | ||
4 | 10:45-11:00 | KG207 | Franklin Abodo, Phillip Marvin, and Joanna Brown | Graph Reachability Pruning: Adaptive Data Reduction for Inexact Subgraph Matching | ||
5 | 11:00-11:15 | DM1000 | Assma Boughoula, Kevin Ros, and ChengXiang Zhai | An optimization Approach to Automatic Construction of Browsable Concept Index for Organizing Online Educational Content | ||
6 | 11:30-11:45 | KG218 | Pedro de Moraes Ligabue, Anarosa Alves Franco Brandão, Sarajane Marques Peres, Fabio Gagliardi Cozman, and Paulo Pirozelli | BlabKG: a Knowledge Graph for the Blue Amazon | ||
7 | 11:45-12:00 | KG222 | Ahmed Abdeen Hamed, Jakub Jonczyk, Mohammad Zaiyan Alam, Ewa Deelman, and Byung Suk Lee | Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case | ||
Parallel Session A2 (14:00 – 17:30, December 1, 2022) Afternoon, Chair: Chenyang Bu | ||||||
Deep Learning and Application | ||||||
| Beijing/Hong Kong Time | PaperId | Author | Title | ||
1 | 14:00-14:15 | DM1059 | Xingtao Lin, Xiaogen Zhou, Xingqing Nie, Luoyan Wang, Zhiqiang Li, and Tong Tong | BSG-Net: A Blind Super-resolution Guided Network for Improving Ultrasound Image Segmentation | ||
2 | 14:15-14:30 | DM515 | Wen Qin and Xin Luo | An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory | ||
3 | 14:30-14:45 | DM204 | Yan Li, Jin Liu, Jing Liu, YingchunGuo, Youxi Wu | AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series | ||
4 | 14:45-15:00 | KG208 | Zhiiyuan Li, Zhou Jin, Rujing Wang, Jie Ji, and Haiyan Liu | A Generative Adversarial Net Assisted Method for User Intention Recognition on Imbalanced Dataset | ||
5 | 15:00-15:15 | KG209 | Minghan Zhang, Fei Xie, and Fuliang Weng | Weighted Transformer for Dialect Speech Recognition | ||
6 | 15:15-15:30 | KG211 | Jiaming Zhang and Hong Yu | Hierarchy-Aware Temporal Knowledge Graph Embedding | ||
Parallel Session B1 (10:00 – 12:00, December 1, 2022), Chair: Ting Bai
| |||||||
Machine learning and NLP
| |||||||
| Beijing/Hong Kong Time
| PaperId
| Author
| Title
| |||
1
| 10:00-10:15
| DM274
| Amit Dhurandhar and Tejaswini Pedapati
| Multihop: Leveraging Complex Models to Learn Accurate Simple Models
| |||
2
| 10:15-10:30
| DM514
| Tsai Hor Chan, Chi Ho Wong, Jia Jun Shen, and Guosheng Yin
| SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings
| |||
3
| 10:30-10:45
| DM531
| Colin Troisemaine, Joachim Flocon-Cholet, Stephane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, and Vincent Lemaire
| A Method for Discovering Novel Classes in Tabular Data
| |||
4
| 10:45-11:00
| DM533
| Md Rayhan Kabir, Samridhi Vaid, Nitakshi Sood, and Osmar Zaiane
| Deep Associative Classifier
| |||
5
| 11:00-11:15
| DM571
| Haotian Xia, Rhys Tracy, Yun Zhao, Erwan Fraisse, Yuan-Fang Wang, and Linda Petzold
| VREN: Volleyball Rally Dataset with Expression Notation Language
| |||
6
| 11:15-11:30
| DM969
| Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, and Hua Wang
| Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology
| |||
7
| 11:30-11:45
| DM1020
| Shengmin Jin, Rui Ma, Jiayu Li, Sara Eftekharnejad, and Reza Zafarani
| A Spectral Measure for Network Robustness: Assessment, Design, and Evolution
| |||
8
| 11:45-12:00
| DM1073
| Minseok Han and Jong-Seok Lee
| Clustering by Peak Merging
| |||
| | | Giorgi Kvernadze, Putu Ayu Sudyanti, Nishan Subedi, and Mohammad Hajiaghayi | Two is Better Than One: Dual Embeddings for Complementary Product Recommendations |
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