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ORCIDICKG 2023: Shanghai, China
- 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 - Abdullah Alchihabi, Qing En, Yuhong Guo:
Efficient Low-Rank GNN Defense Against Structural Attacks. 1-8 - Guozhu Dong, Nicholas Skapura:
GrMC: Towards Interpretable Classification Models That Are Also Accurate. 1-10 - Yufei Li
, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu:
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. 9-18 - João Pedro Quadrado, Carlos Roberto Valêncio, Adriane Orenha Ottaiano, Geraldo Francisco Donegá Zafalon, Luís Marcello Moraes Silva, Angelo Cesar Colombini:
Generation of New Bilingual Dictionaries Through Inference Techniques Supported by a Graph Oriented Database Management System. 19-26 - Bin Yang, Liusiyuan Sun, Ying Xing, Jiawei Zhou, Chen Cheng:
GAFM: Learning the Weights of Feature Interaction via Graph Attentional Factorization Machine. 27-34 - Zhihui Zhang, Jianxiang Yu, Xiang Li:
Context-Aware Session-Based Recommendation with Graph Neural Networks. 35-44 - Senthilkumar Vijayakumar, Filious Louis:
Revolutionizing Staffing and Recruiting with Contextual Knowledge Graphs and QNLP: An End-to-End Quantum Training Paradigm. 45-51 - Dongsheng Guo, Aizhen Yue, Fanggang Ning, Dengrong Huang, Bingxin Chang, Qiang Duan, Lianchao Zhang, Zhaoliang Chen, Zheng Zhang, Enhao Zhan, Qilai Zhang, Kai Jiang, Rui Li, Shaoxiang Zhao, Zizhong Wei:
A Study Case of Automatic Archival Research and Compilation using Large Language Models. 52-59 - Mohammad Iqbal, Rosita Laili Udhiah, Tsamarah Rana Nugraha, Hsing-Kuo Pao:
ASAGeR: Automated Short Answer Grading Regressor via Sentence Simplification. 60-68 - Fei Jie, Haijun Zhang, Jinxiang Wang, Zhenhua Yu:
ASRDataset: A Multi-granularity Shuffle System for Preparing Large-scale ASR Training Data. 69-76 - Qingren Wang, Ao Liu, Kang Yan, Juan Hou, Wei Li:
BigFive: A Chinese Textual Dataset Supporting Psychology Knowledge Graph Construction. 77-83 - Bofeng Zhang, Xiuhong Yao, Haiyan Li, Mirensha Aini:
Chinese Medical Named Entity Recognition based on Expert Knowledge and Fine-tuning Bert. 84-90 - Jian Zhu, Mingkai Sheng, Mingda Ke, Wen Cheng, Liying Zhang, Lingfang Zeng:
Deep Fusion Multi-View Hashing for Multimedia Retrieval. 91-99 - Lintai Cui, Liuqi Jin:
Predicting ICU Pressure Injuries with Historical Data: A Multivariate Time Series Approach. 100-107 - Anjan Chowdhury, Swarup Chattopadhyay, Kuntal Ghosh, Gautam Das:
NeuroANATOP: An Effective Tool to Assess the Progression of Alzheimer's Disease in Human Brain Networks. 108-116 - Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue:
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. 117-125 - Philippe A. Martin:
Incremental Integration of Fragmented Knowledge Via the Edition Protocol of a Shared Knowledge Base. 126-133 - Simon Schramm:
Constructing the Simple Timeseries Event Model. 134-141 - Ze Yang, Yimeng Sun, Takao Nakaguchi, Masaharu Imai:
EMoDi: Entity-Enhanced Momentum-Difference Contrastive Learning for Semantic-Aware Verification of Scientific Information. 142-151 - Huidong Jin, Yaozhong Liu, Quanxi Shao, Ming Li:
Postprocessing Ensemble Forecasts with Generative Adversarial Networks for Daily Precipitation. 152-159 - Dawei Li, Ying Guo, Di Liu, Yangkun Ren, Ruinan Hu, Zhenyu Guan:
Client-Edge-Cloud Hierarchical Federated Learning Based on Generative Adversarial Networks. 160-167 - Xiangyu Li, Umberto Gherardi, Armand Ovanessians, Hua Wang:
Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures. 168-175 - Junda Lu, Yukai Miao, Mingyang Chen, Bo Huang, Bing Li, Wei Wang, Dinusha Vatsalan, Mohamed Ali Kâafar:
Distance Maximization and Defences on Deep Hashing Based Image Retrieval. 176-183 - Zelin Xu, Peipei Li:
Decomposition and Combination-based Classifier Chains for Semi-Supervised Multi-Dimensional Classification. 184-191 - Zan Zhang, Depeng Zhang, Gongqing Wu:
Multi-Label classification with Missing Labels by Preserving Feature-Label Space Consistency. 192-199 - Zhihao Chen, Pengfei Jiao, Yinghui Wang, Huijun Tang, Jilin Zhang:
Enhancing Network Alignment through Multi-Scale Information Fusion. 200-208 - Lixi Gou, Renjie Zhou, Jian Wan, Jilin Zhang, Yue Yao, Chang Yang:
Temporal Gate-Attention Network for Meta-path based Explainable Recommendation. 219-226 - Hyeonseo Kim, Nuri Park, Juneyoung Park, Ling Wang:
Accident analysis for Port Terminals using Heterogeneous XAI-informed Machine Learning Approach. 227-234 - Simon Schramm, Ute Schmid:
Inductive Logic Programming for Explainable Graph Clustering. 235-242 - Wei Zhao, Zhiyuan Guo, Fei Xie:
Non-Autoregressive Speech Synthesis by Fusion of CoordConv and Sound Quality. 243-248 - Menghao Guo, Fan Wu, Jinling Jiang, Xiaoran Yan, Guangyong Chen, Wenhui Li, Yunhong Zhao, Zeyi Sun:
Investigations on Scientific Literature Meta Information Extraction Using Large Language Models. 249-254 - Xin Liu, Siyu Tao, Jie Zheng:
Meta Learning for Low-Data Prediction of Cancer-Specific Synthetic Lethality as Drug Targets. 255-262 - Rui Shen, Hui-juan Zhu, Chang Li, Hua-hui Wei:
GAResNet: A Transfer Learning based Framework for Android Malware Detection. 263-268 - Peng Wang, Zhiyuan Guo, Fei Xie:
Layer Sparse Transformer for Speech Recognition. 269-273 - Yizhang Zou, Xuegang Hu, Pei-Pei Li:
Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. 274-281
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