Data Mining Lab
Data Mining Lab
KAIST · Graduate School of AI
Professor
Prof. 신기정
Professor's page · publicationsAbout
신기정 교수가 이끄는 KAIST 김재철AI대학원 및 전기및전자공학부 소속 Data Mining Lab으로, 데이터 마이닝, 그래프 알고리즘, 네트워크 과학을 연구한다. 대규모 네트워크, 하이퍼그래프, 텐서, 동적 그래프 구조 분석에 특화되어 있다. 신 교수는 카네기멜런대에서 Christos Faloutsos 교수 지도로 박사학위를 받았다.
Research keywords
Recent papers
- Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMsNewPreprintarXiv (Cornell University) · Oct 6
- Do Higher-Order Models Win for Higher-Order Reasons? Rethinking Performance Gains in Hypergraph LearningPreprintarXiv (Cornell University) · Oct 6
- A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical InsightsACM Computing Surveys · Aug 22
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- Rethinking Contrastive Learning for Graph Collaborative FilteringICML · 2026
- RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational DatabasesNeurIPS · 2025
- Learning to Flow from Generative Pretext Tasks for Neural Architecture EncodingNeurIPS · 2025
- Rethinking Reconstruction-based Graph-Level Anomaly DetectionNeurIPS · 2024
- A Survey on Hypergraph Neural NetworksKDD · 2024
- Compact Decomposition of Irregular Tensors for Data CompressionKDD · 2024
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Kijung Shin
KAIST · Graduate School of Data Science
From binary to general attributes: attributed hypergraph generation with realistic interplay between structure and attributesKnowledge and Information Systems · Aug 21Shared topic: Complex Network Analysis Techniques
Byungjoon Min
Chungbuk National University · Physics
Giant strongly biconnected components of directed networks: a generating function approachPreprintarXiv (Cornell University) · Aug 26Shared topic: Complex Network Analysis Techniques
Kim Junmo Lab
KAIST · Electrical Engineering
Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context RLNewPreprintarXiv (Cornell University) · Oct 8Shared topic: Domain Adaptation and Few-Shot Learning
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