43 citations · 139 across the 21 of their papers we have counts for
7 papers · 1 filter
Signed Graph Diffusion Network
Jinhong Jung, Jaemin Yoo, U Kang
Given a signed social graph, how can we learn appropriate node representations to infer the signs of missing edges? Signed social graphs have received considerable attention to mod…
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization
Jun-Gi Jang, Chaeheum Park, Changwon Jang +2
What are the key structures existing in a large real-world MMORPG (Massively Multiplayer Online Role-Playing Game) graph? How can we compactly summarize an MMORPG graph with hierar…
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion
Jaehun Jung, Jinhong Jung, U Kang
Temporal knowledge graphs (TKGs) inherently reflect the transient nature of real-world knowledge, as opposed to static knowledge graphs. Naturally, automatic TKG completion has dra…
Time-Aware Tensor Decomposition for Missing Entry Prediction
Dawon Ahn, Jun-Gi Jang, U Kang
Given a time-evolving tensor with missing entries, how can we effectively factorize it for precisely predicting the missing entries? Tensor factorization has been extensively utili…
AUBER: Automated BERT Regularization
Hyun Dong Lee, Seongmin Lee, U Kang
How can we effectively regularize BERT? Although BERT proves its effectiveness in various downstream natural language processing tasks, it often overfits when there are only a smal…
Ensemble Multi-Source Domain Adaptation with Pseudolabels
Seongmin Lee, Hyunsik Jeon, U Kang
Given multiple source datasets with labels, how can we train a target model with no labeled data? Multi-source domain adaptation (MSDA) aims to train a model using multiple source…