### About

We hold seminars on large-scale data processing, graph AI, distributed graph algorithms, and any others related to data mining.

The information on the seminar is as follows:

- Wednesday 3:00 pm - 4:00 pm
- P-Lab (609), Future Hall, Kookmin University
- Topic: On-going researches and data mining research papers (KDD, ICDM, ICDE, CIKM, etc.)

### Upcoming Seminars (tentative)

Date | Presenter |
---|---|

2024-08-14 | 김수지 |

2024-08-28 | 박기연 |

### Previous Seminars

Date | Presenter | Title | Slide |
---|---|---|---|

2024-07-31 | 한창훈 | Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs | [slide] |

2024-07-17 | 이영준 | Bootstrap Your Own Latent : A New Approach to Self-Supervised Learning | [slide] |

2024-07-03 | 김민형 | A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks | [slide] |

2024-06-19 | 강지수 | Retrieval-Augmented Generation | [slide] |

2024-05-29 | 박기연 | Learning to Remeber Patterns: Pattern Matching Memory Networks for Traffic Forecasting | [slide] |

2024-05-08 | 김수지 | Product Quantization in Similarity Search | [slide] |

2024-02-28 | 한창훈 | Efficient Proximity Search in Time-accumulating High-dimensional Data using Multi-level Block Indexing | [slide] |

2024-02-15 | 이영준 | Do Transformers Really Perform Bad for Graph Representation? | [slide] |

2024-01-31 | 김민형 | Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining | [slide] |

2024-01-17 | 강지수 | Generative Agents: Interactive Simulacra of Human Behavior | [slide] |

2024-01-03 | 김혜성 | 모두가 알지만 모르는 딥러닝 기초 | [slide] |

2023-11-29 | 김수지 | Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization | [slide] |

2023-11-15 | 이영준 | A Simple Framework for Contrastive Learning of Visual Representations | [slide] |

2023-11-01 | 한창훈 | Graph Attention Network | [slide] |

2023-10-11 | 이스마일 | Secure Content-Based Image Retrieval with Image Ambiguation | [slide] |

2023-09-13 | 박현석 | Reverse Graph Learning for Graph Neural Network | [slide] |

2023-08-30 | 김민형 | Gradient Gating for Deep Multi-Rate Learning on Graphs | [slide] |

2023-08-23 | 강지수 | Autoknow: Self-driving knowledge collection for products of thousands of types | [slide] |

2023-08-09 | 김수지 | Graph neural networks: A review of methods and applications | [slide] |

2023-07-26 | 김상홍 | Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest | [slide] |

2023-07-19 | 한창훈 | Mining of Real-world Hypergraphs: Concepts, Patterns, and Generators | [slide] |

2023-07-12 | Ismail | Vision GNN: An Image is Worth Graph of Nodes | [slide] |

2023-07-05 | 박현석 | On the Unreasonable Effectiveness of Feature Propagation in Learning on Graph with Missing Node Features | |

2023-06-28 | 이영준 | Self-Attentive Sequential Recommendation | [slide] |

2023-06-21 | 김민형 | GPT-GNN: Generative Pre-Training of Graph Neural Networks | [slide] |

2023-06-02 | 강지수 | "Why should I Trust You?" Explaining the Predictions of Any Classifier | [slide] |

2023-05-26 | 김수지 | 시간 라벨 데이터에서의 효율적인 KNN 탐색 | [slide] |

2023-05-12 | 이영준 | Tutorial on Variational Autoencoders | |

2023-04-28 | 한창훈 | Attention is all you need | [slide] |

2023-04-14 | Ismail | W-Net: A Deep Model for Fully Unsupervised Image Segmentation | |

2023-04-07 | 김상홍 | 유사사례 검색 기술 고도화 및 기상과학원 현업화 지원 | |

2023-03-24 | 박현석 | Data Augmentation for Graph Neural Networks | |

2023-03-10 | 김상홍 | The Elements of Style - An Approach to Style(With a List of Reminders) | |

2023-03-03 | 김유진 | The Elements of Style - A Few Matters of Form, Words and Expression Commonly Misused | |

2023-02-24 | 박현석 | The Elements of Style - Elementary Principles of Composition | |

2023-02-17 | Ismail | The Elements of Style - Elementary Rules of Usage | |

2023-01-06 | 김민형 | Accelerating Triangle Counting on GPU | |

2022-12-30 | 김상홍 | 분산환경에서 k-NN 그래프 만들기 | |

2022-12-16 | 김유진 | 기상관측정보를 고려한 오토인코더 기반 멀티모달 기상위성영상 임베딩 기법 연구 | |

2022-12-16 | 조재오 | 맵리듀스 환경에서 프로덕트 양자화 |