About Seminar

In this seminar, we discuss diverse research topics such as data mining, graph machine learning, and applied data science including recommender systems. Here are the details of the seminar.

• Time: Every thursday, 19:00 - 20:00
• Place: 숭실대학교 정보과학관 301호

Seminar Information

Date	Title	Speaker	Slide
Dec 02, 2024	Upcoming Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation	Sunuk Kim	[link]
Nov 25, 2024	Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks	Jiseung Hyun	[link]
Nov 11, 2024	RecExplainer: Aligning Large Language Models for Explaining Recommendation Models	Seokhyeon Cho	[link]
Nov 04, 2024	Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback	Junwoo Jung	[link]
Oct 14, 2024	Self-Guided Learning to Denoise for Robust Recommendation	Minseo Jeon	[link]
Oct 7, 2024	MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation	Geonwoo Go	[link]
Sep 30, 2024	Hypergraph Neural Networks	Daewon Gwak	[link]
Summer, 2024	Lab Study on NLP	Lab Members	[link]
Jun 20, 2024	Dvine : Directed Network Embedding with virtual Negative Edges	Minseo Jeon	[link]
May 30, 2024	Predict Then Propagate: Graph Neural Networks Meet Personalized Pagerank	Daewon Gwak	[link]
May 23, 2024	LightGCL: Simple Yet Effective Graph Contrastive Learning For Recommendation	Cheolhee Jung	[link]
May 09, 2024	Recommender Systems with Generative Retrieval	Junwoo Jung	[link]
May 02, 2024	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks	Seokhyeon Cho	[link]
Apr 17, 2024	Automated Self Supervised Learning for Recommendation	Jongyoon Choi	[link]
Apr 05, 2024	Large Language Models with Graph Augmentation for Recommendation	Geonwoo Ko	[link]
Mar 28, 2024	Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning	Jinhong Jung	[link]