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
• Place: 숭실대학교 정보과학관 301호

Seminar Information

2026

Date	Title	Speaker	Slide
26/03/05	Upcoming Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models	Jaehyun Park	[link]
26/02/26	You Don’t Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control	Jongyoon Choi	[link]
26/02/12	XRec: Large Language Models for Explainable Recommendation	Hanvit Lee	[link]
26/02/05	MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation	Junwoo Jung	[link]
26/01/22	Collaborative Interest Mining Network for Knowledge Graph-based Recommendation	Jaehyun Park	[link]
26/01/15	NFARec: A Negative Feedback-Aware Recommender Model	Jiseung Hyun	[link]
26/01/08	PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems	Daewon Gwak	[link]

2025

Date	Title	Speaker	Slide
25/11/27	Context-aware Sequential Bundle Recommendation via User-specific Representations	Sunuk Kim	[link]
25/11/20	Contrastive Text-enhanced Transformer for Cross-Domain Sequential Recommendation	Junwoo Jung	[link]
25/11/13	MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets	Jaehyun Park	[link]
25/11/06	Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?	Jiseung Hyun	[link]
25/10/30	LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture	Minseo Jeon	[link]
25/10/23	On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective	Sunuk Kim	[link]
25/09/25	STERLING: Synergistic Representation Learning on Bipartite Graphs	Daewon Gwak	[link]
25/09/11	A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation	Minseo Jeon	[link]
25/09/04	RecDiff: Diffusion Model for Social Recommendation	Jiseung Hyun	[link]
25/08/21	Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning	Jaehyun Park	[link]
25/08/07	LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation	Junwoo Jung	[link]
25/07/24	DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment	Sunuk Kim	[link]
25/07/17	K-hop Hypergraph Neural Network: A comprehensive Aggregation Approach	Daewon Gwak	[link]
25/07/10	A Contrastive Framework with User, Item and Review Alignment for Recommendation	Minseo Jeon	[link]
25/07/03	DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation	Jiseung Hyun	[link]
25/06/19	KGTORe: Tailored Recommendations through Knowledge-aware GNN Models	Jaehyun Park	[link]
25/05/29	Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation	Junwoo Jung	[link]
25/05/22	Forward Learning of Graph Neural Networks	Sunuk Kim	[link]
25/05/15	VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation	Daewon Gwak	[link]
25/05/08	AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings	Junwoo Jung	[link]
25/05/01	Are Graph Augmentation Necessary? Simple Graph Contrastive Learning for Recommendation	Minseo Jeon	[link]
25/04/10	Towards Deeper Graph Neural Networks	Daewon Gwak	[link]
25/04/03	G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation	Jaehyun Park	[link]
25/03/20	DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation	Sunuk Kim	[link]
25/03/10	Content-Based Collaborative Generation for Recommender Systems	Jiseung Hyun	[link]
25/02/20	CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation	Jaehyun Park	[link]
25/02/13	Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System	Jiseung Hyun	[link]
25/02/06	Personalized Denoising Implicit Feedback for Robust Recommender System	Minseo Jeon	[link]
25/01/23	Disentangled Graph Collaborative Filtering	Sunuk Kim	[link]
25/01/16	Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs	Daewon Gwak	[link]
25/01/09	Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond	Junwoo Jung	[link]
25/01/02	BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart	Jinhong Jung	[link]

2024

Date	Title	Speaker	Slide
24/12/02	Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation	Sunuk Kim	[link]
24/11/25	Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks (KDD’24)	Jiseung Hyun	[link]
24/11/11	RecExplainer: Aligning Large Language Models for Explaining Recommendation Models	Seokhyeon Cho	[link]
24/11/04	Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback	Junwoo Jung	[link]
24/10/14	Self-Guided Learning to Denoise for Robust Recommendation	Minseo Jeon	[link]
24/10/07	MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation	Geonwoo Ko	[link]
24/09/30	Hypergraph Neural Networks	Daewon Gwak	[link]
24/06/20	Dvine : Directed Network Embedding with virtual Negative Edges	Minseo Jeon	[link]
24/05/30	Predict Then Propagate: Graph Neural Networks Meet Personalized Pagerank	Daewon Gwak	[link]
24/05/23	LightGCL: Simple yet effective graph contrastive learning for recommendation	Cheolhee Jeong	[link]
24/05/09	Recommender Systems with Generative Retrieval	Junwoo Jung	[link]
24/05/02	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks	Seokhyeon Cho	[link]
24/04/19	Automated Self Supervised Learning for Recommendation	Jongyoon Choi	[link]
24/04/04	LLMRec: Large Language Models with Graph Augmentation for Recommendation	Geonwoo Ko	[link]
24/03/28	Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning	Jinhong Jung	[link]