ACL Anthology About Announcements Communication channels Related work Copyright Credits Volunteer Development Feedback Using Citing papers Links in the Anthology Data access All FAQs Details Anthology identifiers Names ORCID iDs DOIs Verified authors Contributions Submissions Corrections Author pages Attachments GitHub GraphNarrator: Generating Textual Explanations for Graph Neural Networks Bo Pan , Zhen Xiong , Guanchen Wu , Zheng Zhang , Yifei Zhang , Yuntong Hu , Liang Zhao Correct Metadata for Use this
Neural scaling laws describe empirical power-law relationships showing how deep neural network performance, particularly in large language models, improves predictably with increases in model size (pa
Graph Neural Networks (GNNs) have achieved a lot of success with graph-structured data. However, it is observed that the performance of GNNs does not improve (or even worsen) as the number of layers increases. This effect has known as over-smoothing, which means that the representations of the graph nodes of different classes would become indistinguishable when stacking multiple layers. In this work, we propose a new simple, and efficient method to alleviate the effect of the over-smoothing problem in GNNs
tnet » Weighted Networks » Defining Weighted Networks Ties in many empirical networks have naturally a strength associated with them. For example, in social networks, some contacts are friends, whereas others are simply acquaintances. Granovetter (1973, pg. 1361) argued that the strength of a social tie is a function of its duration, emotional intensity, intimacy
A Java class package for working with simulated Artificial Neural Networks. Source code and demo of feed forward networks provided
Understanding AI applications in bio for machine learning engineers
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Rebuild A Podcast by Tatsuhiko Miyagawa. Talking about Tech, Software Development and Gadgets. Dec 25 2016 169: Your Blog Can Be Generated By Neural Networks (omo) 収録時間: 1:45:57 | Download MP3 (77.2MB) Hajime Morita さんをゲストに迎えて、達人プログラマーなどについて話しました。 Starring omo miyagawa Rebuild: Supporter Naoya Ito: "業界の悪習: 新人に10冊も20冊も自分が読んだ本を薦める" 新装版 達人プログラマー 職人から名匠への道
I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.Geoffrey Hinton
Never been one to let the carrier drop Sheer rambles on about this, that, and the other. « Braces TascamSlurp » The boundaries between neural networks So, I’ve been working on a theory.. this is more of my hand-wavy guessing what’s going on inside a NNN stuff.. My theory is that children grow their ego.. the portion of their decision trees that is recognizably them – from the inside out. At the same time, society grows it’s internal manifestation of state from the outside in. When combined with