Geometric Deep Learning is an emerging paradigm to process graph-structured data with end-to-end trainable models, Graph Neural Networks (GNNs), with the ability to leverage prior knowledge about the data domain while offering large expressive power. Such attractive tradeoff has resulted in state-of-the-art performance over diverse domains, ranging from social networks, biology, knowledge bases, or finance. In this talk, I will present recent advances in our group covering both theory and applications. On the theory side, we quantify both the approximation power of GNN architectures and their stability to graph perturbations, resulting in a principled architecture design. We will illustrate these theoretical advances with applications in semi-supervised learning and forecasting in dynamic graphs modeling Social Network data, and discuss broader applications to recommender systems and fraud detection.... Read More | Share it now!
Top 10 Scariest Monsters in Fantasy Movies
These creatures are fantastically scary! For this list, we’ll be going over the monsters and creatures from fantasy films that are the most frightening. Our countdown includes monsters from film franchises such as Harry Potter, Lord of the Rings & Pirates of the Caribbean. Which monster from fantasy movies do YOU think is the scariest? Let us know in the comments!... Read More | Share it now!
[SAIF 2019] Day 2: Symbolic Logic meets Machine Learning: Towards Reliable AI – Vaishak Belle
Artificial Intelligence (AI) provides many opportunities to improve private and public life, and it has enjoyed significant investment. Indeed, discovering patterns and structures in large troves of data in an automated manner is a core component of data science. Machine learning currently drives applications in computational biology, natural language processing and robotics. However, such a highly positive impact is coupled with a significant challenge: when can we convincingly deploy these methods in our workplace? For example, can we provide prior knowledge and suggestions to the learning modules? Can we learn interpretable symbolic structures from data? In this talk, we look at the fundamental problem of unifying reasoning and learning, and how this enables a systematic way to integrate human knowledge and data-driven learning methods. We will then briefly consider how that unification may help us take steps towards a commonsensical, transparent and responsible AI.... Read More | Share it now!
ARTIFACT HUNTING! – Ark Valguero #5
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Discord! – https://discord.gg/4jSx9tz... Read More | Share it now!
Every Upcoming Superhero Movie You Need To Know About
Every Superhero Movie You Need To Look Out For In 2020
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عايدة رياض تكشف أسرار إ صا بتها بالسر طا ن..زوجها مطرب شهير وزوج شقيقتها مدرب شهير | أخبار النجوم
#أخبار_النجوم شاهدوا #حسن_شحاتة و #عايدة_رياض... Read More | Share it now!
A Quiet Place Part II Trailer #2 (2021) | Movieclips Trailers
Check out the official A Quiet Place: Part II Trailer #2 starring Emily Blunt! Let us know what you think in the comments below.
► Watch A Quiet Place 2: https://www.fandangonow.com/details/movie/a-quiet-place-part-ii-2021/MMV070D92E2E0ED9329EB64C3CF70BC1ABEB?cmp=MCYT_YouTube_Desc... Read More | Share it now!
20 Celebrities Who Insured Their Body Parts For Millions
These Celebrities’ Body Parts Are Worth More Than You Think
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القصة الكاملة لـ نسيم حبتور المخطوف من 24 سنة بالدمام فى السعودية ورد فعل والديه | أخبار النجوم
#أخبار_النجوم شاهدوا #نسيم_حبتور و #أسرار_النجوم
القصة الكاملة لـ نسيم حبتور المخطوف من 24 سنة بالدمام فى السعودية ورد فعل والديه | أخبار النجوم
تعرف على التفاصيل بالفيديو المرفق على الرابط
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