class_docstr: A dataset of vital mathematics articles from Wikipedia. We made it
  public during the development of PyTorch Geometric Temporal. The
  underlying graph is static - vertices are Wikipedia pages and edges are
  links between them. The graph is directed and weighted. Weights represent
  the number of links found at the source Wikipedia page linking to the target
  Wikipedia page. The target is the daily user visits to the Wikipedia pages
  between March 16th 2019 and March 15th 2021 which results in 731 periods.
class_docstr_tok: ["A","dataset","of","vital","mathematics","articles","from","Wikipedia",".","We","made","it","public","during","the","development","of","PyTorch","Geometric","Temporal",".","The","underlying","graph","is","static","-","vertices","are","Wikipedia","pages","and","edges","are","links","between","them",".","The","graph","is","directed","and","weighted",".","Weights","represent","the","number","of","links","found","at","the","source","Wikipedia","page","linking","to","the","target","Wikipedia","page",".","The","target","is","the","daily","user","visits","to","the","Wikipedia","pages","between","March","16th","2019","and","March","15th","2021","which","results","in","731","periods","."]
code: def __init__(self):
      self._read_web_data()
  
file_path: pytorch_geometric_temporal/torch_geometric_temporal/dataset/wikimath.py
imports: import json
  import urllib
  import numpy
  from ..signal import StaticGraphTemporalSignal
label_desc: Use image node_id 1 to create a new WikiMathsDatasetLoader object from inherited base classes: object with example: obj = WikiMathsDatasetLoader()