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Kijung Shin — most-cited papers & profile · Time Series
← authors
·
overview
Kijung Shin
25
papers ·
25
citations ·
28
h-index
Korea Advanced Institute of Science and Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Spear And Shield: Adversarial Attacks And Defense Methods For Model-based Link Prediction On Continuous-time Dynamic Graphs
2023 · 7 citations
Robust Graph Clustering via Meta Weighting for Noisy Graphs
2023 · 5 citations
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
2023 · 4 citations
Learning to Pool in Graph Neural Networks for Extrapolation
2021 · 3 citations
A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
2025 · 2 citations
Two-stage Training of Graph Neural Networks for Graph Classification
2020 · 2 citations
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
2023 · 2 citations
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
2025
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
2025
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
2025
From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
2025
Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
2025
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
2025
'Hello, World!': Making GNNs Talk with LLMs
2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
2025
Top co-authors
Buru Chang
· 1
Jaewon Kim
· 1
Shinhwan Kang
· 1
Soo Yong Lee
· 1
Topics
GNN Architectures
Theory & Expressivity
Ranking & CTR
Self-Supervised & Contrastive
Two-Tower & Retrieval
Adversarial ML
Collaborative Filtering
RAG
Evaluation
Code