Kijung Shin
23 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
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Conferences
AAAI (10)
ICML (5)
IJCAI (2)
ACL (1)
CVPR (1)
EMNLP (1)
ICLR (1)
NIPS (1)
WACV (1)
Top co-authors
Research topics
Keywords
graph neural network
(5)
anomaly detection
(4)
representation learning
(3)
node classification
(3)
attention mechanism
(2)
recommender system
(2)
graph mining
(2)
graph representation
(2)
link prediction
(2)
large language model
(2)
probabilistic modeling
(1)
knowledge distillation
(1)
in-context learning
(1)
multimodal learning
(1)
online learning
(1)
contrastive learning
(1)
graph anomaly detection
(1)
time series prediction
(1)
hypergraph learning
(1)
graph attention
(1)
Papers
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
AAAI 2026
Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs
ACL 2026
βHello, World!β: Making GNNs Talk with LLMs
EMNLP 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
AAAI 2025
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
ICML 2025
VITA: βCarefully Chosen and Weighted Lessβ Is Better in Medication Recommendation
AAAI 2024
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
AAAI 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
CVPR 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
NIPS 2024
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
ICLR 2024
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
ICML 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
ICML 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
ICML 2024
Iβm Me, Weβre Us, and Iβm Us: Tri-directional Contrastive Learning on Hypergraphs
AAAI 2023
Robust and Efficient Alignment of Calcium Imaging Data Through Simultaneous Low Rank and Sparse Decomposition
WACV 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
ICML 2023
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams
IJCAI 2022
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
AAAI 2021
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
AAAI 2020
TellTail: Fast Scoring and Detection of Dense Subgraphs
AAAI 2020
Why You Should Charge Your Friends for Borrowing Your Stuff
IJCAI 2017