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Classifying Diagrams and Their Parts using Graph Neural Networks: A
  Comparison of Crowd-Sourced and Expert Annotations

Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations

5 December 2019
Tuomo Hiippala
ArXivPDFHTML

Papers citing "Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations"

2 / 2 papers shown
Title
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams
Tuomo Hiippala
Malihe Alikhani
Jonas Haverinen
Timo Kalliokoski
E. Logacheva
Serafina Orekhova
Aino Tuomainen
Matthew Stone
J. Bateman
20
48
0
09 Dec 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
206
747
0
03 Sep 2019
1