ICKG 2025 - Technical Program

View Overview Program

Note for online presenters: You must send us your pre-recorded presentation in MP4 file format, at info@easyconferences.org, by Monday, November 10th 2025.

Thursday, November 13

Time	Room “Megaron G”	Room “Megaron B”
09:15 – 09:30	Opening Session – Paper Awards Ceremony
09:30 – 10:30	Keynote Speech 1: Prof Steffen Staab (All sessions are 1.5 hours long.)
10:30 – 11:00	Morning Coffee Break
11:00 – 12:30	S1 — Knowledge Graph Construction Chair: Napoli Rosario KG244: Generic and domain-specific AI-powered knowledge graph construction Irene Kilanioti and George Angelos Papadopoulos KG251: Topic-Enhanced Instruction Tuning for Automatic Knowledge Graph Construction Xiaoyu Sun, Ke Liang, Sihang Zhou, and Jie Chen KG273: Design of Cybersecurity Knowledge Graph Systems Based on Large Language Models Yichun Li and Fei Xiong KG261: LLM-Based Construction of Knowledge Graphs for the Analysis of Human Smuggling Networks Dipak Meher, Carlotta Domeniconi, and Guadalupe Correa-Cabrera KG279: Mind the Context: Enriching Knowledge Graphs with Rules and Mappings Veronica Santos, Daniel de Oliveira, Daniel Schwabe, Edward Hermann Haeusler, Fernanda Baiao, and Sergio Lifschitz	S2 — LLMs with Knowledge Graphs Chair: Lifeng Han KG248: EagleCare: Augmenting ICU Monitoring with LLMs and Knowledge Graph Reasoning Jiawei Guo, Yang Gao, Zihang Liu, Yihan Rao, Jiang Hu, and Haishuai Wang KG258: FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data Analysis Marlena Flüh, Soo-Yon Kim, Carolin Victoria Schneider, and Sandra Geisler KG283: KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models Weijie Chen, Ting Bai, Jinbo Su, Jian Luan, Wei Liu, and Chuan Shi KG262: OPeMer: One-shot LLM Prompting and Execution-driven Multimodal Explainable Reasoning Zuyi Zhou, Dizhan Xue, and Shengsheng Qian KG291: Can an LLM Induce a Graph? Investigating Memory Drift and Context Length Raquib Bin Yousuf, Aadyant Khatri, Shengzhe Xu, Mandar Sharma, and Naren Ramakrishnan
12:30 – 14:00	Lunch Break
14:00 – 15:30	S3 — Multimodal KG Completion & Understanding Chair: Nick Bassiliades KG242: DMF-MH: Dual-stage Modality-aware Fusion for Modality Heterogeneity in Multimodal Knowledge Graph Completion Ronghua Tian and Hong Yu KG264: FICHAD: Fusion of Image Context and Human-Annotated Descriptions for Multi-Modal Knowledge Graph Completion Haodi Ma, Dzmitry Kasinets, and Daisy Wang KG243: SSGR-AR: Semantic-enhanced Scene Graph Reasoning for Robust Video Action Recognition Daxu Shi, Fan Qi, and Changsheng Xu KG225: Efficient Text-video Aligner method for text-video retrieval Huaiqi Li and Chunxiao Fan KG238: Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread Rosario Napoli, Gabriele Morabito, Antonio Celesti, Massimo Villari, and Maria Fazio	S4 — Graph Representation & Analysis Chair: Irene Kilanioti KG201: Clustering Edges Reveals How Vertices Exert Influence in Graph Data Manohar Murthi and Kamal Premaratne KG245: SS04: High-Variance Graph Framelets for Heterophilous Graph Learning Ruigang Zheng, Ming Li, and Xiaosheng Zhuang KG237: PRISM: A Framework for Multi-Level Modeling and Analysis of Polarization Knowledge Demetris Paschalides, George Pallis, and Marios D. Dikaiakos KG209: Simple Rule Injection for ComplEx Embeddings Haodi Ma, Anthony Colas, Yuejie Wang, Ali Sadeghian, and Daisy Wang
15:30 – 16:00	Afternoon Coffee Break
16:00 – 17:30	S5 — Ontologies, Semantic & Interoperability Chair: Tarek Zaarour KG274: Towards Abduction-based Ontology Matching Ivan Gocev, Georgios Meditskos, and Nick Bassiliades KG275: Ontology Versioning for Managing Inconsistencies from Heterogeneous Sources in Intralogistics Systems Using RDF-Star Fan Ji, Ziming Wen, and Birgit Vogel-Heuser KG239: SS08: Aligning Tag-based Building Operating Systems with RealEstateCore Ontology for Interoperability, Digital Twin Knowledge Graphs and Energy Management Prerna Juhlin, Michael Kleefisch, Charles Steinmetz, Gösta Stomberg, Matthias Schlöder, Eike Fokken, and Philipp Bauer KG270: Semantic and Structural Drift in Financial Knowledge Graphs: A Robustness Analysis of GNN-based Fraud Detectors Rener S. de Menezes and Raimir H. Filho	S6 — Recommendations & Social Graphs Chair: David Woollard KG247: Preference-aware Intent Fusion in Multi-Behavior Recommendation Shuqing Sun, Peijie Sun, Ruijie Liu, and Dan Guo KG276: ReviewGraph: A Knowledge Graph Embedding Based Framework for Review Rating Prediction with Sentiment Features Albert J.W. de Vink, Natalia Amat-Lefort, and Lifeng HAN KG249: Leveraging Social Network and Multimodal Graphs for Micro-Video Popularity Prediction Lilong Liu, Shangheng Chen, Shengsheng Qian, and Changsheng Xu KG290: Contrastive Learning for Enhancing Model Selection in Sequential Recommender Ensemble Ye Tao, Tianxing Wang, Zhangchi Qiu, Can Wang, and Alan Liew

Friday, November 14

Time	Room “Megaron G”	Room “Megaron B”
09:30 – 10:30	Keynote Speech 2: Prof Changsheng Xu
10:30 – 11:00	Morning Coffee Break
11:00 – 12:30	S7 — Data Mining & Applications Chair: Benedikt Kantz KG229: Lightweight Sentiment Analysis Compression Method Based on BERT Zhongqian Zhang and Chunxiao Fan KG288: Label Informativeness-based Minority Oversampling in Graphs (LIMO) Rishav Das, Sikta Mohanty, Rucha Joshi, and Subhankar Mishra KG240: A survey of repetitive sequential pattern mining Yan Li, Mengyao He, Wenshuai Guo, Sijing Lu, and Youxi Wu KG208: Self-disentangling Domain-specific and Domain-agnostic Representations across Multiple Sources for Data-to-Text Generation Mingxuan Du, Jingbo Zhou, Fuzhen Zhuang, and Yuhong Zhang KG211: A new methodology of a manifold decomposition via Iterative PCA for machine learning Chetra Mang, Axel TahmasebiMoradi, and Mouadh YAGOUBI	S8 — Time-Series & Anomaly Detection I Chair: Tim Wittenborg KG246: M-TSINR: Multiscale Implicit Neural Representations via Mamba Encoder for Time Series Anomaly Detection Ke Liu, Mengxuan Li, Qianqian Shen, Yang Gao, and Haishuai Wang KG265: Large Language Models for Anomalous Event Detection from Temporal Point Processes Qinming Zhuang, Peng Zhang, and Hong Yang KG285: Adaptive-GraphSketch: Real-Time Edge Anomaly Detection via Multi-Layer Tensor Sketching and Temporal Decay Ocheme Anthony Ekle and William Eberle KG289: A Novel Transfer Learning Approach for Detecting Unseen Anomalies Khan Mohammad Al Farabi and Gagan Agrawal KG272: Survey: Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models Junjun Pan, Yu Zheng, Yue Tan, and Yixin Liu
12:30 – 14:00	Lunch Break
14:00 – 15:30	S9 — QA & Graph Applications Chair: Subhankar Mishra KG281: Evaluating Knowledge Graph-Enhanced Context for Multiple-Choice Question Answering Maryam Ghanbari and Renata Dividino KG282: Quantifying Informativeness in Knowledge Graph-Augmented In-Context Learning for Multiple Choice Query Answering Maryam Ghanbari and Renata Dividino KG253: KIMV: Enhancing Entity Disambiguation with a Knowledge-Integrated Multi-View Encoder Xiaozhuang Ma, Yuhan Sun, Xubin Duan, Xiaochang Dong, Jiao Zuo, Yan Li, and Jianji Wang KG277: Graph-Based Identification of Influential Groups in Cross-Platform Narrative Dissemination Ridwan Amure and Nitin Agarwal	S10 — Graph Systems, Benchmarks & Applications Chair: Prerna Juhli KG278: KubeGraphBench: Benchmarking Graph Databases for Kubernetes Observability Charles O’Brian, Tarek Zaarour, Ahmed Khalid, and Ahmed Zahran KG255: SS03: Intent-Driven Smart Manufacturing Integrating Knowledge Graphs and Large Language Models Jradi Takoua, John Violos, Dimitrios Spatharakis, Lydia Mavraidi, Ioannis Dimolitsas, Aris Leivadeas, and Symeon Papavassiliou KG294: Eco-Efficient Surveillance: Transforming Video Data into Actionable Text Summaries Rishabh Kumar, Shagun Saboo, Lahari Boni, and Divya Chaudhary KG256: Memory-Efficient Information Filtering in Contrastive Learning for Temporal Knowledge Graph Reasoning Eshani Fernando, Michael Adjeisah, Jian Chang, and Jian Jun Zhang
15:30 – 16:00	Afternoon Coffee Break
16:00 – 17:30	S11 — Time-Series & Forecasting II Chair: Manohar Murthi KG287: IRDNet: Invariant Dynamic And Residual Decomposition Neural Network for Time Series Forecasting Chenyang Li, Xuanzhi Feng, Chao Li, Yuming Jiang, Shakib Al Hasan, and Dasha Hu KG293: Modeling Time Series Dynamics with Fourier Ordinary Differential Equations Muhao Guo and Yang Weng KG284: BETWEEN: Boundary Estimation through Time Warping, Energy, & Entropy Neutralization Calvin Breseman, Igor Moiseev, Bruno Abbate, and David M. Woollard KG286: When to harmonize? Evaluating Stage-Specific Harmonization in Federated Brain Age Estimation Tanurima Halder, Kunal Deo, Nicolás Nieto, Kaustubh R. Patil, and Prof. Kshitij Jadhav	S12 — Causality, Queries & Explainability Chair: Aris Leivadeas KG267: CausaMap: A Semi-supervised Map For Causal Text Mining Sami Diaf KG268: On the Development of an Interactive Cause-Effect Learning System (CELS) for a Metal-Forming System Use Case Josua Höfgen, Birgit Vogel-Heuser, Dominik Hujo-Lauer, Michael Lechner, and Marion Merklein KG259: Computational Fact-Checking of Online Discourse: Scoring Scientific Accuracy in Climate Change Related News Articles Tim Wittenborg, Constantin Sebastian Tremel, Oliver Karras, and Sören Auer KG241: SS03: Graph Queries from Natural Language using Constrained Language Models and Visual Editing Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, and Tobias Schreck