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KAIST Data Mining Lab
- Seoul, South Korea
- https://kijungs.github.io/
- @isolated_node
Highlights
- Pro
Stars
Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation."
Published as a conference paper at EMNLP (Findings) 2025
[NeurIPS 2025 Datasets and Benchmarks] Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
[SIGIR'25 Short] Official Repository of "KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking"
Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)
This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]
Source code for the CIKM 2024 paper "Post-Training Embedding Enhancement for Long-Tail Recommendation."
This is the official implementation of ICML 2024 paper "Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs"
Code repository of "Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective," published in ICML 2024.
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams (TKDD'21)
[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs (AAAI'24)
Implementation of Adaptive RWR Computation on Hypergraphs
Code repository of the paper, "You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark," published in CIKM 2023.
MiDaS-B: Back-In-Time Sampling from Real-world Hypergraphs
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions (ICDM 23)
Robust Graph Clustering via Meta Weighting for Noisy Graphs (CIKM'23)
[KDD'23] On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms
Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.
[DAMI'23 (ECMLPKDD'23 Journal Track)] Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications
KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs