Graph neural network - Wikipedia
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2026-07-27 10:03:52
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划选高亮2026-07-27 13:24:52
原文高亮摘录
“The key design element of GNNs is the use of pairwise message passing”
Whisper 随想笔记
I've seen papers claim 'beyond message passing' but they always seem to sneak it back in.
划选高亮2026-07-27 13:15:52
原文高亮摘录
“The key design element of GNNs is the use of pairwise message passing”
Whisper 随想笔记
So the whole GNN thing really just boils down to neighbors chatting with each other, huh?
划选高亮2026-07-27 10:21:52
原文高亮摘录
“Graph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs.”
Whisper 随想笔记
But aren't graphs just a special case of tensors? Seems overhyped to me.
划选高亮2026-07-27 10:12:52
原文高亮摘录
“Graph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs.”
Whisper 随想笔记
I've seen these used in drug discovery, pretty cool stuff actually.
划选高亮2026-07-27 10:03:52
原文高亮摘录
“Graph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs.”
Whisper 随想笔记
So basically they made neural nets that can handle family trees and stuff?
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