Row 4789

Row ID: 4789 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 4789 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Almost no job posting for Data Scientist or ML Engineer needs GNNs.

Is it because it's computationally expensive - both time and space? Or is it because preprocessing data to a graph format is not always intuitive? Or GNN awareness is still low outside of academia?

FieldValue
text Almost no job posting for Data Scientist or ML Engineer needs GNNs. Is it because it's computationally expensive - both time and space? Or is it because preprocessing data to a graph format is not always intuitive? Or GNN awareness is still low outside of academia?
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-04-21
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url_encoded Z0FBQUFBQm5Lak9GQ0JvMTNLRFpJSmhsSjE3cXpxcjlPWXFObGQ4TTNzcUF1ZWgwLWJndHZWRjRFXy16Y2hxbnhHT1oyVVNfLWhsclI2XzNPMmROUlNPQkdrNlQzMWJ0V3FsZXV2X0RtbXJ5NU1ialN4cG5oYVpEVmZvTGIwWUFoc0VTMWtmLVVOSXhZY3N6M3Q5ZFlQd2lUY0hZUnlsQ2Q3dUJGQkEwZVg1NG5WbkctZzYyeGt5VDFvVnJ5T3BDOEoxenZsOEs4M3g3bEQ0TTFVMXdRbC04STktcGktU2pKUT09

Raw Record

{
  "text": "Almost no job posting for Data Scientist or ML Engineer needs GNNs.\n\nIs it because it's computationally expensive - both time and space? Or is it because preprocessing data to a graph format is not always intuitive? Or GNN awareness is still low outside of academia?",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-04-21",
  "username_encoded": "Z0FBQUFBQm5LakwyNFNsSDBJUXdBVVJDS2xuMzI1dzJWUXg0Q2xrRjdZM2FyYkwzNlR1dG50TzZMc2pXb29sRnZlWnJJRExXS2pkdnNuLVh4S0xTVk4zbGxQOXVjU2g3eGc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9GQ0JvMTNLRFpJSmhsSjE3cXpxcjlPWXFObGQ4TTNzcUF1ZWgwLWJndHZWRjRFXy16Y2hxbnhHT1oyVVNfLWhsclI2XzNPMmROUlNPQkdrNlQzMWJ0V3FsZXV2X0RtbXJ5NU1ialN4cG5oYVpEVmZvTGIwWUFoc0VTMWtmLVVOSXhZY3N6M3Q5ZFlQd2lUY0hZUnlsQ2Q3dUJGQkEwZVg1NG5WbkctZzYyeGt5VDFvVnJ5T3BDOEoxenZsOEs4M3g3bEQ0TTFVMXdRbC04STktcGktU2pKUT09"
}
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