activity
20172021
most citedAnalysing user identity via time-sensitive semantic edit distance (t-SED): A case study of Russian trolls on Twitter

19 citations · 31 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2021

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs

Sean Li, Dongwoo Kim, Qing Wang

Graph neural networks (GNNs) have been extensively studied for prediction tasks on graphs. As pointed out by recent studies, most GNNs assume local homophily, i.e., strong similari…

cs.CL201912 cited

word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs

Yo Joong Choe, Kyubyong Park, Dongwoo Kim

We present word2word, a publicly available dataset and an open-source Python package for cross-lingual word translations extracted from sentence-level parallel corpora. Our dataset…

cs.CY201919 cited

Analysing user identity via time-sensitive semantic edit distance (t-SED): A case study of Russian trolls on Twitter

Dongwoo Kim, Timothy Graham, Zimin Wan +1

In the digital era, individuals are increasingly profiled and grouped based on the traces they leave behind in online social networks such as Twitter and Facebook. In this paper, w…

cs.LG2018

Self-Bounded Prediction Suffix Tree via Approximate String Matching

Dongwoo Kim, Christian Walder

Prediction suffix trees (PST) provide an effective tool for sequence modelling and prediction. Current prediction techniques for PSTs rely on exact matching between the suffix of t…

cs.AI2018

Neural Dynamic Programming for Musical Self Similarity

Christian J. Walder, Dongwoo Kim

We present a neural sequence model designed specifically for symbolic music. The model is based on a learned edit distance mechanism which generalises a classic recursion from comp…

cs.HC2017

PathRec: Visual Analysis of Travel Route Recommendations

Dawei Chen, Dongwoo Kim, Lexing Xie +5

We present an interactive visualisation tool for recommending travel trajectories. This system is based on new machine learning formulations and algorithms for the sequence recomme…