ICKG

Publications

2023

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. ICKG (2023)
Anjan Chowdhury, Swarup Chattopadhyay, Kuntal Ghosh, Gautam Das
NeuroANATOP: An Effective Tool to Assess the Progression of Alzheimer's Disease in Human Brain Networks. ICKG (2023)
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023 ICKG (2023)
Simon Schramm, Ute Schmid
Inductive Logic Programming for Explainable Graph Clustering. ICKG (2023)
Zhihao Chen, Pengfei Jiao, Yinghui Wang, Huijun Tang, Jilin Zhang
Enhancing Network Alignment through Multi-Scale Information Fusion. ICKG (2023)
Bin Yang, Liusiyuan Sun, Ying Xing, Jiawei Zhou, Chen Cheng
GAFM: Learning the Weights of Feature Interaction via Graph Attentional Factorization Machine. ICKG (2023)
Huidong Jin, Yaozhong Liu, Quanxi Shao, Ming Li
Postprocessing Ensemble Forecasts with Generative Adversarial Networks for Daily Precipitation. ICKG (2023)
Bofeng Zhang, Xiuhong Yao, Haiyan Li, Mirensha Aini
Chinese Medical Named Entity Recognition based on Expert Knowledge and Fine-tuning Bert. ICKG (2023)
Simon Schramm
Constructing the Simple Timeseries Event Model. ICKG (2023)
Mohammad Iqbal, Rosita Laili Udhiah, Tsamarah Rana Nugraha, Hsing-Kuo Pao
ASAGeR: Automated Short Answer Grading Regressor via Sentence Simplification. ICKG (2023)
Lixi Gou, Renjie Zhou, Jian Wan, Jilin Zhang, Yue Yao, Chang Yang
Temporal Gate-Attention Network for Meta-path based Explainable Recommendation. ICKG (2023)
Zhihui Zhang, Jianxiang Yu, Xiang Li
Context-Aware Session-Based Recommendation with Graph Neural Networks. ICKG (2023)
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. ICKG (2023)
Jian Zhu, Mingkai Sheng, Mingda Ke, Wen Cheng, Liying Zhang, Lingfang Zeng
Deep Fusion Multi-View Hashing for Multimedia Retrieval. ICKG (2023)
Philippe A. Martin
Incremental Integration of Fragmented Knowledge Via the Edition Protocol of a Shared Knowledge Base. ICKG (2023)
Xin Liu, Siyu Tao, Jie Zheng
Meta Learning for Low-Data Prediction of Cancer-Specific Synthetic Lethality as Drug Targets. ICKG (2023)
Qingren Wang, Ao Liu, Kang Yan, Juan Hou, Wei Li
BigFive: A Chinese Textual Dataset Supporting Psychology Knowledge Graph Construction. ICKG (2023)
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. ICKG (2023)
Abdullah Alchihabi, Qing En, Yuhong Guo
Efficient Low-Rank GNN Defense Against Structural Attacks. ICKG (2023)
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. ICKG (2023)
Guozhu Dong, Nicholas Skapura
GrMC: Towards Interpretable Classification Models That Are Also Accurate. ICKG (2023)
Zan Zhang, Depeng Zhang, Gongqing Wu
Multi-Label classification with Missing Labels by Preserving Feature-Label Space Consistency. ICKG (2023)
Yizhang Zou, Xuegang Hu, Pei-Pei Li
Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. ICKG (2023)
Dawei Li, Ying Guo, Di Liu, Yangkun Ren, Ruinan Hu, Zhenyu Guan
Client-Edge-Cloud Hierarchical Federated Learning Based on Generative Adversarial Networks. ICKG (2023)
Zelin Xu, Peipei Li
Decomposition and Combination-based Classifier Chains for Semi-Supervised Multi-Dimensional Classification. ICKG (2023)
Ze Yang, Yimeng Sun, Takao Nakaguchi, Masaharu Imai
EMoDi: Entity-Enhanced Momentum-Difference Contrastive Learning for Semantic-Aware Verification of Scientific Information. ICKG (2023)
Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. ICKG (2023)
Xiangyu Li, Umberto Gherardi, Armand Ovanessians, Hua Wang
Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures. ICKG (2023)
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. ICKG (2023)
Wei Zhao, Zhiyuan Guo, Fei Xie
Non-Autoregressive Speech Synthesis by Fusion of CoordConv and Sound Quality. ICKG (2023)
Lintai Cui, Liuqi Jin
Predicting ICU Pressure Injuries with Historical Data: A Multivariate Time Series Approach. ICKG (2023)
Senthilkumar Vijayakumar, Filious Louis
Revolutionizing Staffing and Recruiting with Contextual Knowledge Graphs and QNLP: An End-to-End Quantum Training Paradigm. ICKG (2023)
Peng Wang, ZhiyuanGuo, Fei Xie
Layer Sparse Transformer for Speech Recognition. ICKG (2023)
Rui Shen, Hui-juan Zhu, Chang Li, Hua-hui Wei
GAResNet: A Transfer Learning based Framework for Android Malware Detection. ICKG (2023)
Hyeonseo Kim, Nuri Park, Juneyoung Park, Ling Wang
Accident analysis for Port Terminals using Heterogeneous XAI-informed Machine Learning Approach. ICKG (2023)
Fei Jie, Haijun Zhang, Jinxiang Wang, Zhenhua Yu
ASRDataset: A Multi-granularity Shuffle System for Preparing Large-scale ASR Training Data. ICKG (2023)

2022