Threads by latest replies - Page 599

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No.14269440 ViewReplyOriginalReport
Is this proof of god
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No.14268775 ViewReplyOriginalReport
Why are feet so attractive, scientifically speaking?
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Vaccines and Autism

No.14267008 ViewReplyOriginalReport
The claim that vaccines cause autism has been "debunked" by the mainstream. All I can find is research that shows the various COMPONENTS of vaccines don't cause autism. To me, that's a dishonest argument. The various components of, say, ACE inhibitors do not lower your blood pressure (or give you that dry, nagging cough), it is the synergistic effects of the various components combined that produce the effects.
Am I missing something? Is there research out there that definitively proves that vaccines do not cause autism? Genuinely interested in an answer to this, I am no pro- or anti-vax, but I work in medicine and this is a tough one to unravel.
Thanks for your help, anons.
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No.14269654 ViewReplyOriginalReport
Can someone send me difficult integrals and limit problems so i can excercise solving them?
I passed my physics exam today and tomorrow i have to repeat my calc 1 exam. Last time i had 23/50 points. I needed 25 to pass.
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High IQ anons answer me this.

No.14267656 ViewReplyOriginalReport
I've noticed every time I eat a bit of raw potato (like 50g) I'm not hungry until the next day, so it makes it easier for me to do OMAD (longevity purposes).

Why is this? Is it because of the resistant starch? If not why?
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No.14267545 ViewReplyOriginalReport
How do I cure premature ejaculation? (using science & math)

Asking for a friend
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Graph classification

No.14267588 ViewReplyOriginalReport
Imagine you have a set of samples for which you can represent the data as graphs. Each graph is not at all the same size or shape as any of the others.

When trying to use a MPNN for graph classification, I run into what seems to be a really unsatisfying predicament.

After performing the message passing steps, because I have a differential number of vectors across samples (because the graphs are different sizes), I'm forced to just average all of the new embeddings to create a singular standard vector to carry through.

I feel like this leads to dramatic information loss. What was the point of representing the whole system and seeing how neighbors can influence each other only to squash everything in the end?

Does anyone know a better way?