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The IEEE International Conference on Knowledge Graphs (ICKG), formerly the IEEE International Conference on Knowledge Graph (ICKG), IEEE International Conference on Big Knowledge (ICBK), and the “Data Mining and Intelligent Computing” Forum, provides a premier international forum for presentation of original research results in Knowledge Graph opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Knowledge Graph, including algorithms, software, platforms, and applications for knowledge graph construction, maintainence, and inference. ICKG draws researchers and application developers from a wide range of Knowledge Graph related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web. By promoting novel, high quality research findings, and innovative solutions to challenging Knowledge Graph problems, the conference seeks to continuously advance the state-of-the-art in Knowledge Graph.

Note: 2017-2019 organized as ICBK, in 2020 as ICKG, in 2021 again as ICBK, and since 2022 again as ICKG.

Conference History:

16th IEEE International Conference on Knowledge Graphs (ICKG 2025), 13-14 December, 2025, Limassol, Cyprus

(Host: Department of Computer Science, University of Cyprus)

Conference program TBD

Topics:
Foundations, algorithms, models, and theory of knowledge discovery and graph learning
Knowledge engineering with big data.
Machine learning, data mining, and statistical methods for data science and engineering.
Acquisition, representation and evolution of fragmented knowledge.
Fragmented knowledge modeling and online learning.
Knowledge graphs and knowledge maps.
Graph learning security, privacy, fairness, and trust.
Interpretation, rule, and relationship discovery in graph learning.
Geospatial and temporal knowledge discovery and graph learning.
Ontologies and reasoning.
Topology and fusion on fragmented knowledge.
Visualization, personalization, and recommendation of Knowledge Graph navigation and interaction.
Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy.
Applications and services of knowledge discovery and graph learning in all domains including web, medicine, education, healthcare, and business.
Big knowledge systems and applications.
Crowdsourcing, deep learning and edge computing for graph mining.
Large language models and applications
Open source platforms and systems supporting knowledge and graph learning.

Special Tracks:
KGC and Knowledge Graph Building
Knowledge Reasoning and Knowledge Graphs Reasoning
Knowledge Graphs and Large Language Model
GNN and Graph Learning
QA and Graph Database
Knowledge Graphs and Multi-modal Learning
Knowledge Graphs and Knowledge Fusion
Industry and Applications

15th IEEE International Conference on Knowledge Graphs (ICKG 2024), December 11-12, Abu Dhabi, United Arab Emirates

(Host: Machine Learning Research Department, Mohamed bin Zayed University of Artificial Intelligence; Lab of the Abu Dhabi Investment Authority)

Keynotes:
Large Language Models: Risks, Opportunities and Responses
Graphs and RAG for Better Industrial GenAI Solutions

Conference Sessions:
Natural Language Processing and Knowledge Graph
Graph and Knowledge Learning
Knowledge System and Applications
Knowledge Discovery and Data Science

Collocated Conferences:
IEEE International Conference on Data Mining (ICDM), Dec 9-12

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14th IEEE International Conference on Knowledge Graph (ICKG 2023), December 1-2, 2023, Shanghai, China Virtual venue

(Host: Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology)

Keynotes:
Enterprise Intelligent Manufacturing Practice
Varieties of General Intelligence

Conference Sessions:
Machine Learning and Knowledge Graphs
Knowledge Graphs and Natural Language Processing (NLP)
Machine Learning for Time Series and Visualization
Representation Learning, Semi-supervised Learning and Application
Reasoning with Knowledge Graphs, Domain Knowledge Graphs, Knowledge Graph Analytics and Applications
Deep Learning and Application

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Dec 1-4, Shanghai, China

Keynotes:
Big Data, Big Knowledge, Big Intelligence
Stream Data Mining: From Sliding Windows to New Paradigm of Deep Neural Network Learning Methodology

Workshops:
IWLKG: International Workshop on Learning with Knowledge Graphs: Opportunities and Challenges with ChatGPT
MAB-KD: Multi-Armed Bandits for Knowledge Discovery Workshop
TrustKDD: The 1st International Workshop on Trustworthy Knowledge Discovery and Data Mining

13th IEEE International Conference on Knowledge Graph (ICKG 2022), November 30 – December 1, 2022, Orlando, FL, USA Virtual venue

(Host: University of Notre Dame, College of Engineering, Department of Computer Science and Engineering)

Keynotes:
Approaches to Distributed RDF Data Management and SPARQL Processing
Towards Natural User Interaction

Conference Tracks:
Machine Learning and Knowledge Graphs
Reasoning with Knowledge Graphs
Knowledge Graph Analytics and Applications
Knowledge Graphs and NLP
Knowledge graphs for Explainable AI
Multimodal Knowledge Graphs
Social Network and Representation Learning
Knowledge Graphs for Cultural Heritage
Knowledge Graphs for Geospatial Information Systems
Domain Knowledge Graphs
Knowledge Graphs for Education
Big Knowledge Systems

Conference Sessions:
Machine Learning and Knowledge Graphs
Knowledge Graphs and NLP
Machine Learning for Time Series and Visualization
Representation Learning, Semi-supervised Learning and Application
Reasoning with Knowledge Graphs, Domain Knowledge Graphs, Knowledge Graph Analytics and Applications
Deep Learning and Application
Machine learning and NLP

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Nov 28 – Dec 1

Keynotes:
On Learning, Meta-Learning, and “Lego-Learning” — theory, system, and engineering
Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges
Do Simpler Machine Learning Models Exist and How Can We Find Them?

Workshops:
KG2022 – International Workshop on Knowledge Graphs, Nov 28, 2022, Online

12th IEEE International Conference on Big Knowledge (ICBK-2021), December 7-8, 2021, Auckland, New Zealand Virtual venue

(Host: University of Auckland, School of Computer Science)

Note: The conference was originally planned as IEEE International Conference on Knowledge Graph (ICKG-2021) for August 9-11, 2021 in Hong Kong, China, hosted by the Big Data Institute of the Hong Kong University of Science and Technology

Keynotes:
Combining Deductive and Statistical Explanations in the FRANK Query Answering System; The Evolution of Future Network Technology; What to Expect for the Next Generation Distributed File Systems?

Conference Tracks:
Machine Learning and Knowledge Graphs; Machine Learning for Streaming Data; Reasoning with Knowledge Graphs; Knowledge Graph Analytics and Applications; Knowledge Graphs and NLP; ocial Network and Representation Learning; Knowledge Graphs for Education; Operations Research; Optimisation and Machine Learning

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Dec 7-10, online

Panels:
Data Mining with Far Fewer Labels: Pretraining, Knowledge and Unsupervised Learning

11th IEEE International Conference on Knowledge Graph (ICKG-2020), August 9-11, 2020, Nanjing, China Virtual venue

(Host: Nanjing University of Finance and Economics, School of Information Engineering)

Keynotes:
On Presuppositions of Machine Learning: A Meta Theory; Analysing, Understanding and Repairing Knowledge Graphs at Scale; Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem

Conference Tracks:
Machine Learning and Knowledge Graphs; Knowledge Graph Analytics and Applications; Knowledge Graphs and NLP; Social Network and Representation Learning; Knowledge Graphs for Cultural Heritage; Domain Knowledge Graphs; Knowledge Graphs for Geospatial Information Systems or Education (was: Knowledge Graphs for Geospatial Information Systems; Knowledge Graphs for Education); Reasoning with Knowledge Graphs (CANCELLED); Knowledge Graphs for Explainable Artificial Intelligence (CANCELLED); Multimodal Knowledge Graphs (CANCELLED)

10th IEEE International Conference on Big Knowledge (IEEE ICBK 2019), November 10-11, 2019, Beijing, China

(Host: Mininglamp Academy of Science)

Keynotes:
Applying theory of data to practice; Actual Causality

Conference Sessions:
Algorithm and Theory for Big Knowledge; Co-location Pattern Mining; Data Mining in Big Knowledge; Machine Learning and its Applications; Representation Learning; Big Knowledge Systems

Conference Panels:
Marketing Intelligence – Let Marketing Drive Efficiency and Innovation

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Nov 8-11

9th IEEE International Conference on Big Knowledge (IEEE ICBK 2018), November 17-18, 2018, Singapore

(Host: Nanyang Technological University)

Keynotes:
A Preliminary Study on Big Knowledge; On Big Wisdom (ICDM)

Conference Sessions:
Knowledge Graphs; Neural Networks and Deep Learning; Representation Learning; Graph Mining and Knowledge Platforms; Machine Learning and its Applications; Social Networks; Multi-Pattern Analysis

Conference Panels:
Knowledge Engineering with Big Data

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Nov 17-20

8th IEEE International Conference on Big Knowledge (IEEE ICBK 2017), August 9 – 10, 2017, Hefei, China

(Host: Hefei University of Technology, Data Mining and Intelligent Computing Laboratory)

Keynotes:
Tracking in Dynamic Networks; Deep Learning in Bioinformatics

Conference Sessions:
Statistics Learning; Recommendation Systems; Knowledge Engineering; Dynamic Systems

Conference Panels:
Big Graph Processing and Analytics; Knowledge Engineering with Big Data

Conference Workshops:
Workshop on Big Data Partitioning and Mining; Workshop on Linked Data Mining; Workshop on Research and Application of Big Knowledge in Urban Governance; Workshop on Sparse, Uncertain, and Incomplete Data Modeling and Online Learning; Workshop on Analyzing and Predicting Interaction Behaviors; Workshop on Dynamic Knowledge Modeling and Evolution

7th “Data Mining and Intelligent Computing” Forum, August 9-10, 2016, Hefei University of Technology, Hefei, China

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6th “Data Mining and Intelligent Computing” Forum, August 9-10, 2015, Hefei University of Technology, Hefei, China

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5th “Data Mining and Intelligent Computing” Forum, August 9-10, 2014, Hefei University of Technology, Hefei, China

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4th “Data Mining and Intelligent Computing” Forum, August 9-10, 2013, Hefei University of Technology, Hefei, China

(in conjunction with the 1st Member Congress of the Anhui Artificial Intelligence Society)

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3rd “Data Mining and Intelligent Computing” Forum, August 9-10, 2012, Hefei University of Technology, Hefei, China

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2nd “Data Mining and Intelligent Computing” Forum, August 9-10, 2011, Hefei University of Technology, Hefei, China

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1st “Data Mining and Intelligent Computing” Forum, August 9-10, 2010, Hefei University of Technology, Hefei, China

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