International Conferences

Preprint

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System

Sein Kim*, Hongseok Kang*, Seungyoon Choi, Donghyun Kim, Minchul Yang, Chanyoung Park
[PDF] [Code]

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park
[PDF] [Code]

2024

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation

Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
CVPR 2024 - IEEE/CVF Computer Vision and Pattern Recognition Conference
[PDF] [Code]

Self-guided Robust Graph Structure Refinement

Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park
WWW 2024 (Oral) - The Web Conference 2024
[PDF] [Code] [Video]

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning

Seungyoon Choi*, Wonjoong Kim*, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park
WWW 2024 (Oral) - The Web Conference 2024
[PDF] [Code] [Video]

Adaptive Self-training Framework for Fine-grained Scene Graph Generation

Kibum Kim*, Kanghoon Yoon*, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
ICLR 2024 - Twelfth International Conference on Learning Representations
[PDF] [Code]

Sterling: Synergistic Representation Learning on Bipartite Graphs

Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
AAAI 2024 (Oral) - Thirty-Eighth AAAI Conference on Artificial Intelligence
[PDF]

Noise Robust Graph Learning under Feature-Dependent Graph-Noise

Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park
WWW 2024 Workshop on Data-centric Artificial Intelligence (DCAI) (Oral) - The Web Conference 2024
[PDF] [Code]

2023

Interpretable Prototype-based Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Chanyoung Park
NeurIPS 2023 (Gold Prize at the 30th Samsung Humantech Paper Award) - Thirty-seventh Conference on Neural Information Processing Systems
[PDF] [Code] [Video]

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer

Namkyeong Lee*, Heewoong Noh*, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems
[PDF] [Code] [Video]

MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement

Yunhak Oh*, Sukwon Yun*, Dongmin Hyun, Sein Kim, Chanyoung Park
CIKM 2023 - ACM International Conference on Information and Knowledge Management
[PDF] [Code] [Slide]

Class Label-aware Graph Anomaly Detection

Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park
CIKM 2023 - ACM International Conference on Information and Knowledge Management (Short paper)
[PDF] [Code]

Structural Mixup for Graph Neural Networks

Junghurn Kim*, Sukwon Yun*, Chanyoung Park
CIKM 2023 - ACM International Conference on Information and Knowledge Management (Short paper)
[PDF] [Code]

Similarity Preserving Adversarial Graph Contrastive Learning

Yeonjun In*, Kanghoon Yoon*, Chanyoung Park
KDD 2023 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code] [Slide] [Video]

Shift-Robust Molecular Relational Learning with Causal Substructure

Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park
KDD 2023 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code] [Video]

Task-Equivariant Graph Few-shot Learning

Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park
KDD 2023 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code] [Slide] [Video]

Task Relation-aware Continual User Representation Learning

Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park
KDD 2023 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code] [Slide] [Video]

Conditional Graph Information Bottleneck for Molecular Relational Learning

Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
ICML 2023 - International Conference on Machine Learning
[PDF] [Code] [Slide] [Video] [News]

MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation

Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park
SIGIR 2023 - ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] [Code] [Slide]

Heterogeneous Graph Learning for Multi-modal Medical Data Analysis

Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park
AAAI 2023 (Oral) (KAIST Breakthrough (Spring 2023)) - Thirty-Seventh AAAI Conference on Artificial Intelligence
[PDF] [Code] [Slide] [Video]

Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network

Kanghoon Yoon*, Kibum Kim*, Jinyoung Moon, Chanyoung Park
AAAI 2023 - Thirty-Seventh AAAI Conference on Artificial Intelligence
[PDF] [Code] [Slide] [Video]

Stoichiometry Representation Learning with Polymorphic Crystal Structures

Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park
NeurIPS 2023 Workshop on AI for Scientific Discovery: From Theory to Practice (AI4Science) - NeurIPS 2023
[PDF] [Code]

Electron-Derived Molecular Representation Learning for Real-World Molecular Physics

Gyoung S. Na, Chanyoung Park
NeurIPS 2023 Workshop on AI for Scientific Discovery: From Theory to Practice (AI4Science) - NeurIPS 2023
[PDF]

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, Chanyoung Park
ICML 2023 Workshop on Computational Biology - International Conference on Machine Learning
[PDF] [Code]

Single-cell RNA-seq data imputation using Feature Propagation

Sukwon Yun*, Junseok Lee*, Chanyoung Park
ICML 2023 Workshop on Computational Biology (Contributed Talk) (Best Paper Award) - International Conference on Machine Learning
[PDF] [Code]

Predicting Density of States via Multi-modal Transformer

Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
ICLR 2023 Workshop on Machine Learning for Materials (ML4Materials) - International Conference on Learning Representations
[PDF] [Code]

2022

Shift-Robust Node Classification via Graph Adversarial Clustering

Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han
NeurIPS 2022 Workshop on New Frontiers in Graph Learning (GLFrontiers) - Conference on Neural Information Processing Systems
[PDF]

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization

Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
EMNLP 2022 (Findings) - Conference on Empirical Methods in Natural Language Processing
[PDF] [Code]

Set2Box: Similarity Preserving Representation Learning for Sets

Geon Lee, Chanyoung Park, Kijung Shin
ICDM 2022 - The IEEE International Conference on Data Mining
[PDF] [Code]

LTE4G: Long-Tail Experts for Graph Neural Networks

Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park
CIKM 2022 - ACM International Conference on Information and Knowledge Management
[PDF] [Code] [Slide]

Relational Self-Supervised Learning on Graphs

Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park
CIKM 2022 - ACM International Conference on Information and Knowledge Management
[PDF] [Code] [Slide] [News]

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability

Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
CIKM 2022 - ACM International Conference on Information and Knowledge Management
[PDF] [Code] [Slide]

Nonlinearity Encoding for Extrapolation of Neural Networks

Gyoung S. Na, Chanyoung Park
KDD 2022 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code] [Slide]

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment

Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park
SIGIR 2022 - ACM SIGIR Conference on Research and Development in Information Retrieval (Short paper)
[PDF] [Code] [Slide]

AHP: Learning to Negative Sample for Hyperedge Prediction

Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin
SIGIR 2022 - ACM SIGIR Conference on Research and Development in Information Retrieval (Short paper)
[PDF] [Code]

Augmentation-Free Self-Supervised Learning on Graphs

Namkyeong Lee, Junseok Lee, Chanyoung Park
AAAI 2022 - Thirty-Sixth AAAI Conference on Artificial Intelligence
[PDF] [Code] [Slide]

2021

Learnable Structural Semantic Readout for Graph Classification

Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
ICDM 2021 - The IEEE International Conference on Data Mining
[PDF] [Code]

Bootstrapping User and Item Representations for One-Class Collaborative Filtering

Dongha Lee, Seongku Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
SIGIR 2021 - ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] [Code]

HDMI: High-order Deep Multiplex Infomax

Baoyu Jing, Chanyoung Park, Hanghang Tong
WWW 2021 - The Web Conference 2021
[PDF] [Code] [Video]

2020

Interest Sustainability-Aware Recommender System

Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu
ICDM 2020 - The IEEE International Conference on Data Mining
[PDF] [Code]

Unsupervised Differentiable Multi-aspect Network Embedding

Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
KDD 2020 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code] [Slide] [Video]

Unsupervised Attributed Multiplex Network Embedding

Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
AAAI 2020 - Thirty-Fourth AAAI Conference on Artificial Intelligence
[PDF] [Code] [Slide]

2019

Task-Guided Pair Embedding in Heterogeneous Network

Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
CIKM 2019 - ACM International Conference on Information and Knowledge Management
[PDF] [Code] [Slide]

BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network

Seonghyun Lee, Chanyoung Park, Hwanjo Yu
CIKM 2019 - ACM International Conference on Information and Knowledge Management
[PDF] [Code]

Action Space Learning for Heterogeneous User Behavior Prediction

Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu
IJCAI 2019 - International Joint Conference on Artificial Intelligence
[PDF] [Code]

Sequential and Diverse Recommendation with Long Tail

Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu
IJCAI 2019 - International Joint Conference on Artificial Intelligence
[PDF]

2018

Collaborative Translational Metric Learning

Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
ICDM 2018 - The IEEE International Conference on Data Mining
[PDF] [Code] [Slide]

Review Sentiment-Guided Scalable Deep Recommender System

Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
SIGIR 2018 - ACM SIGIR Conference on Research and Development in Information Retrieval (Short paper)
[PDF]

2017

Do "Also-Viewed" Products Help User Rating Prediction?

Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
WWW 2017 - 26th International World-Wide Web Conference
[PDF] [Code] [Slide]

2016

Convolutional Matrix Factorization for Document Context-Aware Recommendation

Donghyun Kim, Chanyoung Park, Jinoh Oh, Seungyong Lee, Hwanjo Yu
RecSys 2016 - ACM International Conference on Recommender System
[PDF] [Code] [Slide]

TRecSo: Enhancing Top-k Recommendation With Social Information

Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
WWW 2016 - 25th International World-Wide Web Conference (Poster)
[PDF] [Code]

2015

Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling

Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
RecSysChallenge 2015 - ACM Recommender Systems Challenge (10th place, top 1.1%)
[PDF] [Slide]