126 citations · 258 across the 6 of their papers we have counts for
7 papers
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
Namyong Park, Fuchen Liu, Purvanshi Mehta +3
How can we perform knowledge reasoning over temporal knowledge graphs (TKGs)? TKGs represent facts about entities and their relations, where each fact is associated with a timestam…
Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality
Namyong Park, MinHyeok Kim, Nguyen Xuan Hoai +3
Modeling real-world phenomena is a focus of many science and engineering efforts, such as ecological modeling and financial forecasting, to name a few. Building an accurate model f…
J-Recs: Principled and Scalable Recommendation Justification
Namyong Park, Andrey Kan, Christos Faloutsos +1
Online recommendation is an essential functionality across a variety of services, including e-commerce and video streaming, where items to buy, watch, or read are suggested to user…
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
Namyong Park, Andrey Kan, Xin Luna Dong +2
Given multiple input signals, how can we infer node importance in a knowledge graph (KG)? Node importance estimation is a crucial and challenging task that can benefit a lot of app…
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos
Byungsoo Jeon, Namyong Park
This paper addresses a key challenge in MOOC dropout prediction, namely to build meaningful representations from clickstream data. While a variety of feature extraction techniques…
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning
Byungsoo Jeon, Namyong Park, Seojin Bang
Massive Open Online Courses (MOOCs) have become popular platforms for online learning. While MOOCs enable students to study at their own pace, this flexibility makes it easy for st…