International Conferences

Preprint

Continual Traffic Forecasting via Mixture of Experts

Sanghyun Lee, Chanyoung Park
[PDF]

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting

Sanghyun Lee, Chanyoung Park
[PDF]

SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials

Wonjoong Kim*, Sangwu Park*, Yeonjun In, Seokwon Han, Chanyoung Park
[PDF] [Code]

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park
[PDF]

2025

Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics

Gyoung S. Na, Chanyoung Park
KDD 2025 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code]

On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications

Hyeonsoo Jo*, Hyunjin Hwang*, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
KDD 2025 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code]

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness

Junghoon Kim*, Junmo Lee*, Yeonjun In, Kanghoon Yoon, Chanyoung Park
WSDM 2025 - The 18th ACM International Conference on Web Search and Data Mining
[PDF] [Code]

2024

Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge

Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park
NeurIPS 2024 - Thirty-eighth Conference on Neural Information Processing Systems
[PDF] [Code] [Slide]

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective

Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park
CIKM 2024 - ACM International Conference on Information and Knowledge Management
[PDF] [Code] [Slide]

Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models

Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
CIKM 2024 - ACM International Conference on Information and Knowledge Management
[PDF] [Code] [Slide]

Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation

Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park
ECCV 2024 - European Conference on Computer Vision
[PDF] [Code] [Slide]

Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network

Sukwon Yun, Jie Peng, Alexandro Trevino, Chanyoung Park, Tianlong Chen
ECCV 2024 - European Conference on Computer Vision
[PDF] [Code] [Slide]

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
KDD 2024 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code] [Slide]

Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park
KDD 2024 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] [Code] [Slide]

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park
ICML 2024 - International Conference on Machine Learning
[PDF] [Code] [Slide] [Video]

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] [Slide]

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] [Slide] [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] [Slide] [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] [Slide]

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]

3D Interaction Geometric Pre-training for Molecular Relational Learning

Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Chanyoung Park
NeurIPS 2024 Workshop on AI for New Drug Modalities (AIDrugX) - Thirty-eighth Conference on Neural Information Processing Systems
[PDF]

Subgraph Federated Learning for Local Generalization

Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park
KDD 2024 Workshop on Federated Learning for Data Mining and Graph Analytics (FedKDD) (Oral) (Best Paper Award) - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF]

Interpretable Graph Model with Prototype-Based Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Chanyoung Park
KDD 2024 Workshop on Human-Interpretable AI (Oral) (Best Paper Award) - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF]

Molecule Language Model with Augmented Pairs and Expertise Transfer

Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
ACL 2024 Workshop Language + Molecules - The 62nd Annual Meeting of the Association for Computational Linguistics
[PDF] [Code]

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]