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2020 – today
- 2024
[i7]Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim:
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks. CoRR abs/2408.04895 (2024)- 2023
- [j1]Taewook Ko
, Yoonhyuk Choi, Chong-Kwon Kim:
A spectral graph convolution for signed directed graphs via magnetic Laplacian. Neural Networks 164: 562-574 (2023) - [c3]Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim:
Universal Graph Contrastive Learning with a Novel Laplacian Perturbation. UAI 2023: 1098-1108 - [i6]Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim:
Signed Directed Graph Contrastive Learning with Laplacian Augmentation. CoRR abs/2301.05163 (2023) - [i5]Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim:
Is Signed Message Essential for Graph Neural Networks? CoRR abs/2301.08918 (2023) - [i4]Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim:
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. CoRR abs/2302.09755 (2023) - 2022
- [c2]Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim:
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. CIKM 2022: 283-292 - [c1]Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim:
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation. CIKM 2022: 293-303 - [i3]Taewook Ko:
A Graph Convolution for Signed Directed Graphs. CoRR abs/2208.11511 (2022) - [i2]Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim:
Flip Initial Features: Generalization of Neural Networks for Semi-supervised Node Classification. CoRR abs/2211.15081 (2022) - 2021
- [i1]Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chongkwon Kim:
DaRE: A Cross-Domain Recommender System with Domain-aware Feature Extraction and Review Encoder. CoRR abs/2110.12648 (2021)
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