This is the official YouTube channel of the Data Mining Lab at KAIST, aiming to share research outputs with anyone who is interested in. More information about the Data Mining Lab can be found at http://kaistdata.github.io/

KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking (SIGIR 2025)
2:03
KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking (SIGIR 2025)
Rethinking Reconstruction-based Graph-Level Anomaly Detection (NeurIPS 2024)
4:54
Rethinking Reconstruction-based Graph-Level Anomaly Detection (NeurIPS 2024)
Hypergraph Neural Networks: An In-depth and Step-By-Step Guide (Teaser)
2:58
Hypergraph Neural Networks: An In-depth and Step-By-Step Guide (Teaser)
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer (CVPR-24)
4:56
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer (CVPR-24)
Towards Deep Attention in Graph Neural Networks: Problems and Remedies (ICML 2023)
4:55
Towards Deep Attention in Graph Neural Networks: Problems and Remedies (ICML 2023)
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction (KDD 2023)
17:03
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction (KDD 2023)
Classification of Edge-dependent Labels of Nodes in Hypergraphs (KDD 2023)
17:27
Classification of Edge-dependent Labels of Nodes in Hypergraphs (KDD 2023)
On Improving the Cohesiveness of Graphs by Merging Nodes (KDD 2023)
19:18
On Improving the Cohesiveness of Graphs by Merging Nodes (KDD 2023)
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors (WWW 2023)
2:54
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors (WWW 2023)
Characterization of Simplicial Complexes Using Simplets Beyond Four Nodes (WWW 2023)
2:59
Characterization of Simplicial Complexes Using Simplets Beyond Four Nodes (WWW 2023)
I'm Me, We're Us, and I'm Us: Tridirectional Contrastive Learning on Hypergraphs (AAAI 2023)
14:27
I'm Me, We're Us, and I'm Us: Tridirectional Contrastive Learning on Hypergraphs (AAAI 2023)
Mining of Real-world Hypergraphs: Concepts, Patterns, and Generators (Tutorial) (20-minute Teaser)
19:35
Mining of Real-world Hypergraphs: Concepts, Patterns, and Generators (Tutorial) (20-minute Teaser)
Mining of Real-world Hypergraphs: Concepts, Patterns, and Generators (Tutorial) (Full)
2:48:38
Mining of Real-world Hypergraphs: Concepts, Patterns, and Generators (Tutorial) (Full)
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams (IJCAI 2022)
5:36
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams (IJCAI 2022)
AHP: Learning to Negative Sample for Hyperedge Prediction (SIGIR 2022)
4:57
AHP: Learning to Negative Sample for Hyperedge Prediction (SIGIR 2022)
On the Persistence of Higher-Order Interactions in Real-World Hypergraphs (SDM 2022)
13:59
On the Persistence of Higher-Order Interactions in Real-World Hypergraphs (SDM 2022)
MiDaS: Representative Sampling from Real-world Hypergraphs (WWW 2022)
15:26
MiDaS: Representative Sampling from Real-world Hypergraphs (WWW 2022)
Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications (ICDE 2022)
16:38
Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications (ICDE 2022)
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs (ICDE 2022)
20:46
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs (ICDE 2022)
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs (WSDM 2022)
9:26
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs (WSDM 2022)
THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting (ICDM 2021)
11:44
THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting (ICDM 2021)
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams (ICDE 2021)
11:48
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams (ICDE 2021)
Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and ... (ICDE 2021)
12:07
Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and ... (ICDE 2021)
How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators (WWW 2021)
12:03
How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators (WWW 2021)
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles (ICDM 2020)
18:47
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles (ICDM 2020)
Incremental Lossless Graph Summarization (KDD2020, Long)
18:53
Incremental Lossless Graph Summarization (KDD2020, Long)
Incremental Lossless Graph Summarization (KDD 2020, Short)
3:01
Incremental Lossless Graph Summarization (KDD 2020, Short)
Structural Patterns and Generative Models of Real-world Hypergraphs (KDD 2020, Long)
17:40
Structural Patterns and Generative Models of Real-world Hypergraphs (KDD 2020, Long)
Structural Patterns and Generative Models of Real world Hypergraphs (KDD 2020, Short)
2:57
Structural Patterns and Generative Models of Real world Hypergraphs (KDD 2020, Short)
SSumM: Sparse Summarization of Massive Graphs (KDD 2020, Long)
16:19
SSumM: Sparse Summarization of Massive Graphs (KDD 2020, Long)