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ORCIDICKG 2024: Abu Dhabi, United Arab Emirates
- Victor S. Sheng, Chindo Hicks, Charles Ling, Vijay Raghavan, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023. IEEE 2023, ISBN 979-8-3503-0709-2 - Kiran Bolaj, Abhishek Santra, Sharma Chakravarthy:
Substructure Discovery in Heterogeneous Multilayer Networks. 1-8 - Gui Chen, Xianhui Liu:
A Multi-Agent Collaborative Framework for Constructing Knowledge Graphs from Text. 9-16 - Qiang Chen, Haining Meng, Yihao Bao, Mingsong Yang, Xinyu Tong, Qin Zhao, Muhammad Bilal Khan, Xinhong Hei:
Rail Transit Event Extraction based on the Fusion of Semantic and Local Dependency Features. 17-24 - Mustafa Coskun, Ananth Grama, Mehmet Koyutürk:
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks. 25-32 - Shumin Deng, Yubo Ma, Ningyu Zhang, Yixin Cao, Bryan Hooi:
Information Extraction in Low-Resource Scenarios: Survey and Perspective. 33-49 - Zewen Deng, Zan Zhang, Bingbing Dong, Xiulin Zheng, Xindong Wu:
Feature Enhancement for Multi-modal Entity Alignment Transformer. 50-57 - Venkataramana Kini, Ravi Divvela, Unmesh Phadke, Narayanan Sadagopan, Fei Wang, Zhen Wen:
Trajectory Boosted Transformer Model and KG/LLM based μ-Genre for PV Offer/Content Type Arbitration. 58-66 - Haimonti Dutta, Anushka Tiwari:
Content-based Art Recommendation Using Multimodal Graph Neural Networks. 67-74 - Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas:
Axolotl: Fairness through Assisted Prompt Rewriting of Large Language Model Outputs. 75-84 - Hamid Eghbalzadeh, Yang Wang, Rui Li, Yuji Mo, Qin Ding, Jiaxiang Fu, Liang Dai, Shuo Gu, Nima Noorshams, Sem Park, Bo Long, Xue Feng:
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems. 85-92 - Ilqar Ramazanli, Hamid Eghbalzadeh, Xiaoyi Liu, Yang Wang, Kaushik Rangadurai, Sem Park, Bo Long, Xue Feng:
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. 93-101 - Runnan Fang, Shuofei Qiao, Zekun Xi:
Refining Guideline Knowledge for Agent Planning Using Textgrad. 102-103 - Menghao Guo, Jinling Jiang, Fan Wu, Shanxin Sun, Chen Zhang, Wenhui Li, Zeyi Sun, Guangyong Chen, Xindong Wu:
SLMP: A Scientific Literature Management Platform Based on Large Language Models. 104-109 - Oliver Hennhöfer, Christine Preisach:
Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors. 110-119 - Le Huang, Hengzhi Lan, Zijun Sun, Chuan Shi, Ting Bai:
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval. 120-127 - Lin Wang, Yuan Wang, Wuying Liu:
Pre-trained Model Enhanced Contrastive Knowledge Graph Completion. 136-141 - Boran Jiang, Yuqi Wang, Yi Luo, Dawei He, Peng Cheng, Liangcai Gao:
Reasoning on Efficient Knowledge Paths: Knowledge Graph Guides Large Language Model for Domain Question Answering. 142-149 - Sahib Julka, Yashu Wang, Michael Granitzer:
Towards an Improved Metric for Evaluating Disentangled Representations. 150-158 - Amin Karami, Setinaz Foroudi Ghasemabadi, Mohammad Hossein Amirhosseini:
Breaking Down SEO Complexity: Bridging PCA and Bayesian-Optimized t-SNE. 159-166 - Sohei Kodama, Shin Ando:
GTFormer: A Geospatial Temporal Transformer for Crowd Flow Prediction. 167-176 - Sejin Lee, Dongha Kim, Min Song:
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot. 177-185 - Yunan Li, Sahraoui Dhelim, Mohand Tahar Kechadi:
Estimation Winter Wheat Crop Yield through Multi-Modal Analysis using Satellite Imagery and Meteorological Data. 186-193 - Rishabh Lingam, Sipai Klein, Wendy W. Hinshaw, Xingquan Zhu:
Language Modeling for Sentence Level Assessment: A Case Study of First-Year English Composition. 194-201 - Chen Liu, Lequan Yu, Kai Han, Guosheng Yin:
GAM-GCN: Decomposing Graph Convolutional Networks via Generalized Additive Models. 202-210 - Zihao Liu, Jun Pan, Hao Wang, Kui Yu:
Instance-Level Neural Feature Selection Based on Disentanglement Enhancement. 211-218 - Shunyang Luo, Yuqi Tang, Mingyuan Jiang, Kehua Feng, Qiang Zhang, Keyan Ding:
Generating Multiple Choice Questions from Scientific Literature via Large Language Models. 219-226 - Nichapha Manoonwong, Anca O. Muresan, Anudeep Reddy Raavi, Xingquan Zhu:
An Empirical Study of Named Entity Recognition for Electronic Health Records. 227-234 - Ozan Özgür, Inci M. Baytas:
Out-of-Distribution Detection with Prototype Similarity. 235-243 - Nayan Patel:
Spectral Asteroid Classification Using Wavelet Transform and Auxillary Data to Identify Optimal Mining Targets with Convolutional Neural Networks. 244-249 - Xinzi Peng, Ting Zhang, Yiyang Zhao, Jinzheng Liu, Xinguo Yu:
A Comprehensive Analysis of Data Imbalance in Deep Learning-Based Cognitive Diagnosis. 250-257 - Yijiashun Qi, Shuzhang Cai, Zunduo Zhao, Jiaming Li, Yanbin Lin, Zhiqiang Wang:
Benchmarking Large Language Models for Image Classification of Marine Mammals. 258-265 - Tianzuo Qin, Junwei Su, Chuan Wu:
HEGformer: Representation Learning on Heterogeneous Graph Neural Network with Efficient Transformer. 266-273 - Dehong Qiu, Kangle Cai, Shiyu Lei, Xiang Wu:
Improve Graph Convolutional Network Performance via Incorporating Message Filter. 274-282 - Anand Kumar Rai, Siddharth D. Jaiswal, Shubham Prakash, Bendi Pragnya Sree, Animesh Mukherjee:
DENOASR: Debiasing ASRs through Selective Denoising. 283-290 - Merlin Raud, Amnir Hadachi
, Rajesh Sharma, Flavio Bertini:
Studying the Impact of Infrastructure on Cyclist Route Selection: Real-world Data Mining. 291-300 - Zahiriddin Rustamov, Ayham Zaitouny, Rafat Damseh, Nazar Zaki:
GAIS: A Novel Approach to Instance Selection with Graph Attention Networks. 309-316 - Zahiriddin Rustamov, Abderrahmane Lakas, Nazar Zaki:
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification. 317-324 - Akila Sampath, Omar Faruque, Azim Khan, Vandana P. Janeja, Jianwu Wang:
Physics-Informed Machine Learning for Sea Ice Thickness Prediction. 325-333 - Maryam Shahcheraghi, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Mahashweta Das, Eamonn J. Keogh:
Matrix Profile XXXI: Motif Discovery Made Faster. 334-341 - Akiyoshi Sutou, Jinfang Wang:
SIRSYN: Improved Synthetic Sampling for Imbalanced Data Using SIR. 342-351 - Arisa Tajima, Wei Jiang, Virendra J. Marathe, Hamid Mozaffari:
Enhanced Private Decision Trees using Secure Multiparty Computation and Differential Privacy. 352-359 - Syed Ibtisam Tauhidi, Arindam Karmakar, Son Thai Mai, Hans Vandierendonck:
OrbitSI: An Orbit-based Algorithm for the Subgraph Isomorphism Search Problem. 360-369 - Maximilian Toller, Hussain Hussain, Roman Kern, Bernhard C. Geiger:
Constraining Anomaly Detection with Anomaly-Free Regions. 370-377 - Pragatheeswaran Vipulananthan, Kamal Premaratne, Dilip Sarkar, Manohar N. Murthi:
A Quantum Tensor Network-Based Viewpoint for Modeling and Analysis of Time Series Data. 378-387 - Jiale Wan, Jing Chai:
Learning with Label Proportions Based on Adaptive Confidence and Instance Similarity. 388-395 - Shuwen Wang, Xingquan Zhu:
LG-FAL: Locality-customized GSA Federated Active Learning. 396-403 - Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Heterogeneous Graph Neural Network based on Bandit Sampling for Attribute Completion. 404-411 - Zhi-Jie Wang, Naikang Zhong, Xiao Lin:
A Novel Transformer-based Two Stage Framework for Multi-Label Image Classification. 412-419 - Zhuoyi Xiang, Xinda Wang, Xiaodong Yan, Deng Zhao, Keyan Ding, Qiang Zhang:
MedIE-Instruct: A Comprehensive Instruction Dataset for Medical Information Extraction. 420-427 - Gaofeng Xu, Yuan Meng, Runzhe Wang, Guilin Qi:
Collaborating LLMs and PLMs for Medical Tasks. 428-431 - Zezhong Xu, Juan Li, Wen Zhang:
Large Language Model and Knowledge Graph Entangled Logical Reasoning. 432-439 - Haihong Yang, Ming Qin, Qiang Zhang, Renjun Xu:
Language-agnostic Zero-shot Entity Linking via Entity Prototype Network. 440-447 - Yuting Yang, Minghao Wang, Jiexin Hu, Tao Yin, Chao Gao, Xiaohe Li:
SS08: Development and application of knowledge graphs and large language models technology. 448-454 - Sara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi:
Constrained Recurrent Bayesian Forecasting for Crack Propagation. 455-462 - Tao Yin, Jiabin Chen, Xin Zhao, Jingyao Wang, Chao Gao, Yuting Yang:
SS08: Research on the Construction of Ship Product Standard Knowledge Graph and Application. 463-469 - Yuan Yuan, Yajing Xu, Wen Zhang:
Is Large Language Model Good at Triple Set Prediction? An Empirical Study. 470-476 - Jinghan Zhang, Henry Xie, Xinhao Zhang, Kunpeng Liu:
Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions. 477-484 - Li Zhang, Wen Wang, Zixin Jiang, Zhichun Wang:
Exploring Knowledge from Knowledge Graphs and Large Language Models for Link Prediction. 485-491 - Wen Zhang, Jiaoyan Chen, Juan Li, Zezhong Xu, Jeff Z. Pan, Huajun Chen:
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective. 492-499 - Xinhao Zhang, Jinghan Zhang, Wujun Si, Kunpeng Liu:
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation. 500-507
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