Graph Convolutional Networks

AI

graph neural networks

SHOW HN2016

106points
12comments
#346of 2,264 in 2016
Top 16%of 2016 by points

How HN took it

CuriousMostly questions and neutral comments

2 positive, 4 neutral or asking, 0 mixed, 0 critical, out of 6 comments about the project. Thread score +0.18.

Idea: 2 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Powerful and interesting approach to learning on graphs

    From 2 comments
    • This is really powerful. As a use case I'm considering the graph of streets in a city. A task would be to make predictions on the next nodes visited by a vehicle given the…
      kingennio on HN
    • This looks really interesting, but I'm struggling to think of a practical application. Any ideas?
      empath75 on HN

Objections

  • Practical applications are hard to see

    From 1 comment
    • This looks really interesting, but I'm struggling to think of a practical application. Any ideas?
      empath75 on HN

Requests

  • Mini-batching support for large graphs

    From 2 comments
    • This is really powerful. As a use case I'm considering the graph of streets in a city. A task would be to make predictions on the next nodes visited by a vehicle given the…
      kingennio on HN
    • Mini-batching is indeed tricky, as you need the information of the complete local neighborhood for all nodes in a mini-batch. Let's say you select N nodes for a mini-batch, then…
      triplefloat on HN

Questions

  • Does it classify whole graphs or individual nodes

    From 1 comment
  • How does it differ from graphical models such as factor graphs

    From 1 comment
    • How does this differ from graphical models like factor graphs ?
      webyqop on HN
  • Can Bayesian networks be used as input

    From 1 comment

Alternatives named

  • Graphical models such as factor graphs and Bayesian networks

    From 2 comments

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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