Jisu Jeong | DeepAI

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Kyung-Min Kim
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∙ 12/07/2022

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning

Recent studies have proposed unified user modeling frameworks that lever...

0 Kyuyong Shin, et al. ∙

∙ 12/02/2022

Relation-aware Language-Graph Transformer for Question Answering

Question Answering (QA) is a task that entails reasoning over natural la...

0 Jinyoung Park, et al. ∙

∙ 10/26/2022

Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs

Existing message passing neural networks for heterogeneous graphs rely o...

0 Jiwoong Park, et al. ∙

∙ 06/29/2022

Deformable Graph Transformer

Transformer-based models have been widely used and achieved state-of-the...

6 Jinyoung Park, et al. ∙

∙ 03/26/2022

Metropolis-Hastings Data Augmentation for Graph Neural Networks

Graph Neural Networks (GNNs) often suffer from weak-generalization due t...

46 Hyeonjin Park, et al. ∙

∙ 11/15/2021

Scaling Law for Recommendation Models: Towards General-purpose User Representations

A recent trend shows that a general class of models, e.g., BERT, GPT-3, ...

0 Kyuyong Shin, et al. ∙

∙ 10/15/2021

Intent-based Product Collections for E-commerce using Pretrained Language Models

Building a shopping product collection has been primarily a human job. W...

0 Hiun Kim, et al. ∙

∙ 09/10/2021

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

GPT-3 shows remarkable in-context learning ability of large-scale langua...

0 Boseop Kim, et al. ∙

∙ 09/05/2021

Global-Local Item Embedding for Temporal Set Prediction

Temporal set prediction is becoming increasingly important as many compa...

0 Seungjae Jung, et al. ∙

∙ 05/24/2021

One4all User Representation for Recommender Systems in E-commerce

General-purpose representation learning through large-scale pre-training...

0 Kyuyong Shin, et al. ∙

∙ 09/21/2020

div2vec: Diversity-Emphasized Node Embedding

Recently, the interest of graph representation learning has been rapidly...

0 Jisu Jeong, et al. ∙

∙ 08/02/2020

Tree pivot-minors and linear rank-width

Tree-width and its linear variant path-width play a central role for the...

0 Konrad K. Dabrowski, et al. ∙

∙ 11/04/2017

Finding branch-decompositions of matroids, hypergraphs, and more

Given n subspaces of a finite-dimensional vector space over a fixed fini...

0 Jisu Jeong, et al. ∙

∙ 10/14/2017

Computing the maximum matching width is NP-hard

The maximum matching width is a graph width parameter that is defined on...

0 Kwangjun Ahn, et al. ∙

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