activity
20092023
most citedTowards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks

11 citations · 33 across the 11 of their papers we have counts for

collaborators

12 papers

cs.DB2023

Guaranteeing the Õ(AGM/OUT) Runtime for Uniform Sampling and OUT Size Estimation over Joins

Kyoungmin Kim, Jaehyun Ha, George Fletcher +1

We propose a new method for estimating the number of answers OUT of a small join query Q in a large database D, and for uniform sampling over joins. Our method is the first to sati…

cs.CV2022

Generalizable Implicit Neural Representations via Instance Pattern Composers

Chiheon Kim, Doyup Lee, Saehoon Kim +2

Despite recent advances in implicit neural representations (INRs), it remains challenging for a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representati…

cs.CV2022★ 6 cited

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer

Doyup Lee, Chiheon Kim, Saehoon Kim +2

Although autoregressive models have achieved promising results on image generation, their unidirectional generation process prevents the resultant images from fully reflecting glob…

cs.CV2022★ 10 cited

Autoregressive Image Generation using Residual Quantization

Doyup Lee, Chiheon Kim, Saehoon Kim +2

For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents an image as a sequence of discrete codes. A short sequence length is important for a…

cs.LG2022

Contrastive Regularization for Semi-Supervised Learning

Doyup Lee, Sungwoong Kim, Ildoo Kim +3

Consistency regularization on label predictions becomes a fundamental technique in semi-supervised learning, but it still requires a large number of training iterations for high pe…

cs.DB2021★ 11 cited

Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks

Zifeng Yuan, Huey Eng Chua, Sourav S Bhowmick +3

Canned patterns (i.e. small subgraph patterns) in visual graph query interfaces (a.k.a GUI) facilitate efficient query formulation by enabling pattern-at-a-time construction mode.…

cs.DB2021★ 1 cited

Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming

Seunghwan Min, Sung Gwan Park, Kunsoo Park +3

In many real datasets such as social media streams and cyber data sources, graphs change over time through a graph update stream of edge insertions and deletions. Detecting critica…

cs.DB2021

[Technical Report] Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation

Kyoungmin Kim, Hyeonji Kim, George Fletcher +1

Graph pattern cardinality estimation is the problem of estimating the number of embeddings of a query graph in a data graph. This fundamental problem arises, for example, during qu…

cs.CV2020★ 5 cited

Regularizing Attention Networks for Anomaly Detection in Visual Question Answering

Doyup Lee, Yeongjae Cheon, Wook-Shin Han

For stability and reliability of real-world applications, the robustness of DNNs in unimodal tasks has been evaluated. However, few studies consider abnormal situations that a visu…

cs.DB2019

Fast and Robust Distributed Subgraph Enumeration

Xuguang Ren, Junhu Wang, Wook-Shin Han +1

We study the classic subgraph enumeration problem under distributed settings. Existing solutions either suffer from severe memory crisis or rely on large indexes, which makes them…

cs.DB2015

Taming Subgraph Isomorphism for RDF Query Processing

Jinha Kim, Hyungyu Shin, Wook-Shin Han +2

RDF data are used to model knowledge in various areas such as life sciences, Semantic Web, bioinformatics, and social graphs. The size of real RDF data reaches billions of triples.…

cs.DB2009

Structural Consistency: Enabling XML Keyword Search to Eliminate Spurious Results Consistently

Ki-Hoon Lee, Kyu-Young Whang, Wook-Shin Han +1

XML keyword search is a user-friendly way to query XML data using only keywords. In XML keyword search, to achieve high precision without sacrificing recall, it is important to rem…