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:

Upcoming Seminars (tentative)

Date Presenter
2024-07-31 한창훈
2024-08-14 김수지
2024-08-28 박기연

Previous Seminars

Date Presenter Title 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
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