IEEE ICKG 2024 Program Schedule
December 11 – 12, 2024
Keynote Lecture: 60 minutes (about 45 minutes for talk and 15 minutes for Q and A)
Main conference regular paper: 15 minutes (about 12 minutes for talk and 3 minutes for Q and A)
Main conference short paper: 10 minutes (about 8 minutes for talk and 2 minutes for Q and A)
All conference activities are based on Gulf Standard Time (UAE Local Time).
| Day 1: Wednesday, December 11, 2024 | ||||
| Time | Sessions | Session Chair | Volunteers | |
| 8:30-12:30 | Registration Desk | Pragatheeswaran Vipulanandan pxv245@miami.edu | Sahib Julka Sahib.Julka@Uni-Passau.De | |
| 8: 45 – 9:00 | Opening and Welcome Conf Chairs, PC Chairs, Local Chair Session Chair: | |||
| 9:00-10:00 | Session A: NLP and KG I (4 Regular) | Sohei Kodama 8623506@ed.tus.ac.jp | Anand Rai raianand.1991@gmail.com | |
| 10:00 – 10:30 | Coffee Break and Refreshment | |||
| 10: 30 - 11: 30 | Keynote: Large Language Models: Risks, Opportunities and Responses Speaker: Dr. Geoff Webb, Monash University, Australia Session Chair: | Prof. Anna Fensel | Sohei Kodama | Anand Rai |
| 11:30-12:15 | Session B: Graph and Knowledge Learning I (3 Regular) | Sohei Kodama | Anand Rai | |
| 12:15 - 13:30 | Lunch | |||
| 12:30-18:30 | Registration Desk | Sohei Kodama | Anand Rai | |
| 13:30-15:50 | Session C: NLP and KG II (4 full + 8 Short) | Pragatheeswaran Vipulanandan | Sahib Julka | |
| 15:50-16:10 | Coffee Break and Refreshment | |||
| 16:10-18:30 | Session D: Graph and Knowledge Learning II (4 Regular + 8 Short) | Pragatheeswaran Vipulanandan | Sahib Julka | |
| Day 2: Thursday, December 12, 2024 | ||||
| Time | Sessions | Session Chair | Volunteers | |
| 8:30-12:30 | Registration Desk | Sohei Kodama | Anand Rai | |
| 9:00-10:00 | Session E: Knowledge System and Applications I (4) | Pragatheeswaran Vipulanandan | Sahib Julka | |
| 10:00 – 10:30 | Coffee Break and Refreshment | |||
| 10:30 - 11: 30 | Keynote: Graphs and RAG for Better Industrial GenAI Solutions Speaker: Prof. Dr. Evgeny Kharlamov Session Chair: | Prof. Anna Fensel | Pragatheeswaran Vipulanandan | Sahib Julka |
| 11:30-12:15 | Session F: Knowledge Discovery and Data Science I (3 Regular) | Pragatheeswaran Vipulanandan | Sahib Julka | |
| 12:15 - 13:30 | Lunch | |||
| 12:30-18:30 | Registration Desk | Pragatheeswaran Vipulanandan | ||
| 13:30-15:50 | Session G: Knowledge Systems and Applications II (4 Regular + 8 Short) | Sohei Kodama | Anand Rai | |
| 15:50-16:10 | Coffee Break and Refreshment | |||
| 16:10-18:30 | Session H: Knowledge Discovery and Data Science II (4 Regular + 8 Short) | Sohei Kodama | Anand Rai | |
| 18:30 – 18:40 | Closing Remark | |||
Conference Paper Presentations
Paper Sessions
| A | Session A: NLP and KG I (4 Regular) | |||
| Development and application of knowledge graphs and large language models technology | KG220Regular | Yuting Yang, minghao wang, Jiexin Hu, Tao Yin, Chao Gao, and Xiaohe Li | Onsite | |
| Exploring Knowledge from Knowledge Graphs and Large Language Models for Link Prediction | KG236Regular | Zixin Jiang and Zhichun Wang | Onsite | |
| Trajectory Boosted Transformer Model and KG/LLM based Micro-Genre for PV Offer/Content Type Arbitration | DM665Regular | Venkataramana Kini, Ravi Divvela, Unmesh Phadke, and Fei Wang | Online | |
| LG-FAL: Locality-customized GSA Federated Active Learning | KG226Regular | Shuwen Wang and Xingquan Zhu | Online | |
| B | Session B: Graph and Knowledge Learning I (3 Regular) | |||
| Matrix Profile XXXI: Motif Discovery Made Faster | DM340Regular | Maryam Shahcheraghi, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Mahashweta Das, and Eamonn Keogh | onsite | |
| Substructure Discovery in Heterogeneous Multilayer Networks | DM538Regular | Kiran Bolaj, Abhishek Santra, and Sharma Chakravarthy | onsite | |
| OrbitSI: An Orbit-based Algorithm for the Subgraph Isomorphism Search Problem | DM635Regular | Syed Ibtisam Tauhidi, Arindam Karmakar, Thai Son Mai, and Hans Vandierendonck | onsite | |
| C | Session C: NLP and KG II (4 Regular + 8 Short) | |||
| Large Language Model and Knowledge Graph Entangled Logical Reasoning | KG208Regular | Zezhong Xu, Juan Li, and Wen Zhang | online | |
| Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval | KG210Regular | Le Huang, Hengzhi Lan, Ting Bai, Zijun Sun, and Chuan Shi | online | |
| Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective | KG214Regular | Wen Zhang, Jiaoyan Chen, Juan Li, Zezhong Xu, Jeff Z. Pan, and Huajun Chen | online | |
| Benchmarking Large Language Models for Image Classification of Marine Mammals | KG240Regular | Yijiashun Qi, Shuzhang Cai, Zunduo Zhao, Jiaming Li, and Zhiqiang Wang | online | |
| Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot | DM797Short | Sejin Lee, Dongha Kim, and Min Song | onsite | |
| Pre-trained Model Enhanced Contrastive Knowledge Graph Completion | KG211Short | Lin Wang, Yuan Wang, and Wuying Liu | onsite | |
| Research on the Construction of Ship Product Standard Knowledge Graph and Application | KG223Short | Tao Yin, jiabin chen, xin zhao, jingyao wang, chao gao, and Yuting Yang | onsite | |
| SLMP: A Scientific Literature Management Platform Based on Large Language Models | KG218Short | Menghao Guo, Jinling Jiang, Fan Wu, Shanxin Sun, Chen Zhang, Zeyi Sun, Wenhui Li, and Xindong Wu | online | |
| Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering | KG230Short | Boran Jiang, Yuqi Wang, Yi Luo, Dawei He, Peng Cheng, and Liangcai Gao | online | |
| Language-agnostic Zero-shot Entity Linking via Entity Prototype Network | KG241Short | Haihong Yang, Ming Qin, Qiang Zhang, and Renjun Xu | online | |
| Is Large Language Model Good at Triple Set Prediction? An Empirical Study | KG243Short | Yuan Yuan, Yajing Xu, and Wen Zhang | online | |
| A Multi-Agent Collaborative Framework for Constructing Knowledge Graphs from Text | KG247Short | Gui Chen and Xianhui Liu | online | |
| D | Session D: Graph and Knowledge Learning II (4 Regular + 8 Short) | |||
| Heterogeneous Graph Neural Network based on Bandit Sampling for Attribute Completion | DM678Regular | Ta-Yang Wang, Rajgopal Kannan, and Viktor Prasanna | onsite | |
| Out-of-Distribution Detection with Prototype Similarity | DM782Regular | Ozan Ozgür and İnci Meliha Baytaş | onsite | |
| Content-based Art Recommendation Using Multimodal Graph Neural Networks | DM626Regular | Haimonti Dutta and Anushka Tiwari | online | |
| Feature Enhancement for Multi-modal Entity Alignment Transformer | KG204Regular | Zewen Deng, Zan Zhang, Bingbing Dong, Xiulin Zheng, and Xindong Wu | online | |
| A Comprehensive Analysis of Data Imbalance in Deep Learning-Based Cognitive Diagnosis | DM229Short | Xinzi Peng, Ting Zhang, Yiyang Zhao, Jinzheng Liu, and Xinguo Yu | onsite | |
| GAM-GCN: Decomposing Graph Convolutional Networks via Generalized Additive Models | DM406Short | Chen Liu, Lequan Yu, Kai Han, and Guosheng Yin | onsite | |
| Improve Graph Convolutional Network Performance via Incorporating Message Filter | DM492Short | Dehong Qiu, Kangle Cai, Shiyu Lei, and Xiang Wu | onsite | |
| Generalized Learning of Coefficients in Spectral Graph Convolutional Networks | DM721Short | Mustafa Coskun, Ananth Grama, and Mehmet Koyuturk | onsite | |
| GAIS: A Novel Approach to Instance Selection with Graph Attention Networks | DM289Short | Nazar Zaki, Zahiriddin Rustamov, Ayham Zaitouny, and Rafat Damseh | online | |
| GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification | DM353Short | Zahiriddin Rustamov, Abderrahmane Lakas, and Nazar Zaki | online | |
| HEGformer: Representation Learning on Heterogeneous Graph Neural Network with Efficient Transformer | DM421Short | Qin Tianzuo, Su Junwei, and Wu Chuan | online | |
| Refining Guideline Knowledge for Agent Planning Using Textgrad | KG231Short | Runnan Fang, Shuofei Qiao, Zekun Xi, and Ningyu Zhang | online | |
| E | Session E : Knowledge System and Applications I (4 Regular) | |||
| GTFormer: A Geospatial Temporal Transformer for Crowd Flow Prediction | DM221Regular | Souhei Kodama and Shin Ando | onsite | |
| A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems | DM451Regular | Hamid Eghbalzadeh, Yang Wang, Rui Li, Yuji Mo, Qin Ding, Jiaxiang Fu, Liang Dai, Shuo Gu, Xue Feng, Nima Noorshams, Sem Park, and Bo Long | onsite | |
| Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking | DM457Regular | Hamid Eghbalzadeh, Ilqar Ramazanli, Xiaoyi Liu, Yang Wang, Kaushik Rangadurai, Xue Feng, Sem Park, and Bo Long | onsite | |
| Collaborating LLMs and PLMs for Medical Tasks | KG242Regular | Gaofeng Xu, Yuan Meng, and Guilin Qi | onsite | |
| F | Session F: Knowledge Discovery and Data Science I (3 Regular) | |||
| Breaking Down SEO Complexity: Bridging PCA and Bayesian-Optimized t-SNE | DM423Regular | Amin Karami, Setinaz Foroudi Ghasemabadi, and Mohammad Hossein Amirhosseini | onsite | |
| Towards an Improved Metric for Evaluating Disentangled Representations | DM775Regular | Sahib Julka, Yashu Wang, and Michael Granitzer | onsite | |
| WDOPT: Well-designed Query optimization Based on Pattern Tree | KG244Regular | Tenglong Ren, Guangxi Ji, Xiaowang Zhang, and Zhiyong Feng | onsite | |
| G | Session G: Knowledge Systems and Applications II (4 Regular+ 8 Short) | |||
| A Novel Transformer-based Two Stage Framework for Multi-Label Image Classification_02 | DM478Regular | Zhi-Jie Wang, Xiao Lin, and Nai-Kang Zhong | online | |
| Physics-Informed Machine Learning for Sea Ice Thickness Prediction | DM696Regular | Akila Sampath, Omar Faruque, Vandana P. Janeja, and Jianwu Wang | online | |
| Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions | KG219Regular | Jinghan Zhang, Henry Xie, Xinhao Zhang, and Kunpeng Liu | online | |
| MedIE-Instruct: A Comprehensive Instruction Dataset for Medical Information Extraction | KG233Regular | Zhuoyi Xiang, Xinda Wang, Xiaodong Yan, Deng Zhao, Keyan Ding, and Qiang Zhang | online | |
| Constraining Anomaly Detection with Anomaly-Free Regions | DM304Short | Maximilian Toller, Hussain Hussain, Roman Kern, and Bernhard Geiger | onsite | |
| Practical Application of Knowledge Graph for Chinese Standards in the Shipbuilding Industry | KG224Short | Jiexin Hu, Cong Peng, Jiaming Zheng, Tao Yin, Yuting Yang, and Jianhai Jin | onsite | |
| Estimation Winter Wheat Crop Yield through Multi-Modal Analysis using Satellite Imagery and Meteorological Data | DM336Short | Yunan Li, Sahraoui Dhelim, and Mohand Tahar Kechadi | online | |
| Leave-One-Out-, Bootstrap-, and Cross-Conformal Anomaly Detectors | DM770Short | Oliver Hennhöfer and Christine Preisach | online | |
| Spectral Asteroid Classification with Wavelet Transform and Auxiliary Data Identify Optimal Mining Targets with Convolutional Neural Networks | DM818Short | Nayan Patel | online | |
| An Empirical Study of Named Entity Recognition for Electronic Health Records | KG227Short | Nichapha Manoonwong, Anca Muresan, Anudeep Reddy Raavi, and Xingquan Zhu | online | |
| Generating Multiple Choice Questions from Scientific Literature via Large Language Models | KG229Short | Shunyang Luo, Yuqi Tang, Mingyuan Jiang, Kehua Feng Feng, Qiang Zhang Zhang, and Keyan Ding | online | |
| Language Modeling for Sentence Level Assessment: A Case Study of First-Year English Composition | KG248Short | Rishabh Lingam, Sipai Klein, Wendy Hinshaw, and Xingquan Zhu | online | |
| H | Session H: Knowledge Discovery and Data Science II (4 Regular + 8 Short) | |||
| AXOLOTL: Fairness through Assisted Prompt Rewriting of Large Language Model Outputs | DM658Regular | Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, and Nick Koudas | Onsite | |
| Rail Transit Event Extraction based on the Fusion of Semantic and Local Dependency Features | KG237Regular | Qiang Chen, Haining Meng, Yihao Bao, Mingsong Yang, Xinyu Tong, and Xinhong Hei | online | |
| Information Extraction in Low-Resource Scenarios: Survey and Perspective | KG213Regular | Shumin Deng, Yubo Ma, Ningyu Zhang, Yixin Cao, and Bryan Hooi | online | |
| A Quantum Tensor Network-Based Viewpoint for Modeling and Analysis of Time Series Data | DM689Regular | Vipulananda Pragatheeswaran, Premaratne Kamal, Sarkar Dilip, and N. Murthi Manohar | ||
| Constrained Recurrent Bayesian Forecasting for Crack Propagation | DM650Short | Sara Yasmine Ouerk, Olivier Vo Van, and Mouadh Yagoubi | onsite | |
| DENOASR: Debiasing ASRs through Selective Denoising | DM744Short | Anand Kumar Rai, Siddharth D Jaiswal, Shubham Prakash, Bendi Pragnya Sree, and Animesh Mukherjee | onsite | |
| SIRSYN: Improved Synthetic Sampling for Imbalanced Data Using SIR | DM416Short | Akiyoshi Sutou and Jinfang Wang | online | |
| Learning with Label Proportions Based on Adaptive Confidence and Instance Similarity | DM491Short | Jiale Wan | online | |
| Studying the Impact of Infrastructure on Cyclist Route Selection: Real-world Data Mining | DM525Short | Merlin Raud, Amnir Hadachi, Rajesh Sharma, and Flavio Bertini | online | |
| Enhanced Private Decision Trees using Secure Multiparty Computation and Differential Privacy | DM647Short | Arisa Tajima, Wei Jiang, Virendra Marathe, and Hamid Mozaffari | online | |
| Instance-Level Neural Feature Selection Based on Disentanglement Enhancement | KG209Short | Zihao Liu, Jun Pan, Hao Wang, and Kui Yu | online | |
| Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation | KG216Short | Xinhao Zhang, Jinghan Zhang, Wujun Si, and Kunpeng Liu | online | |