Zobrazeno 1 - 10
of 2 408
pro vyhledávání: '"Deac A"'
Autor:
Deac, Andreea, Tang, Jian
Graph neural networks (GNNs) have demonstrated success in modeling relational data, especially for data that exhibits homophily: when a connection between nodes tends to imply that they belong to the same class. However, while this assumption is true
Externí odkaz:
http://arxiv.org/abs/2306.12943
Autor:
Di Giovanni, Francesco, Rusch, T. Konstantin, Bronstein, Michael M., Deac, Andreea, Lackenby, Marc, Mishra, Siddhartha, Veličković, Petar
Graph Neural Networks (GNNs) are the state-of-the-art model for machine learning on graph-structured data. The most popular class of GNNs operate by exchanging information between adjacent nodes, and are known as Message Passing Neural Networks (MPNN
Externí odkaz:
http://arxiv.org/abs/2306.03589
Antibody-antigen interactions play a crucial role in identifying and neutralizing harmful foreign molecules. In this paper, we investigate the optimal representation for predicting the binding sites in the two molecules and emphasize the importance o
Externí odkaz:
http://arxiv.org/abs/2307.13608
Deep reinforcement learning repeatedly succeeds in closed, well-defined domains such as games (Chess, Go, StarCraft). The next frontier is real-world scenarios, where setups are numerous and varied. For this, agents need to learn the underlying rules
Externí odkaz:
http://arxiv.org/abs/2302.04798
Autor:
Dan Deac
Publikováno v:
Pylon, Vol 6 (2024)
Externí odkaz:
https://doaj.org/article/69b80105869f45af99c6b9584795eb26
Neural algorithmic reasoning studies the problem of learning algorithms with neural networks, especially with graph architectures. A recent proposal, XLVIN, reaps the benefits of using a graph neural network that simulates the value iteration algorit
Externí odkaz:
http://arxiv.org/abs/2211.15839
Deploying graph neural networks (GNNs) on whole-graph classification or regression tasks is known to be challenging: it often requires computing node features that are mindful of both local interactions in their neighbourhood and the global context o
Externí odkaz:
http://arxiv.org/abs/2210.02997
Publikováno v:
Journal of Industrial Design and Engineering Graphics, Iss 10 (2015)
The representation of ventilation or air conditioning plants, particularly of the tubing, specifically require the ability to "see into space" or, more completely expressed, to make the connection between the plane and the space. For this reason, in
Externí odkaz:
https://doaj.org/article/7e5968da152449b788d04a41ad53b628
Autor:
Ibarz, Borja, Kurin, Vitaly, Papamakarios, George, Nikiforou, Kyriacos, Bennani, Mehdi, Csordás, Róbert, Dudzik, Andrew, Bošnjak, Matko, Vitvitskyi, Alex, Rubanova, Yulia, Deac, Andreea, Bevilacqua, Beatrice, Ganin, Yaroslav, Blundell, Charles, Veličković, Petar
The cornerstone of neural algorithmic reasoning is the ability to solve algorithmic tasks, especially in a way that generalises out of distribution. While recent years have seen a surge in methodological improvements in this area, they mostly focused
Externí odkaz:
http://arxiv.org/abs/2209.11142
Publikováno v:
Phys. Rev. B 106, 214413 (2022)
We present a frequency-domain study of the dynamic behavior of a magnetic vortex core within a single Permalloy disk by means of electrical detection and micromagnetic simulations. When exciting the vortex core dynamics in a non-linear regime, the li
Externí odkaz:
http://arxiv.org/abs/2209.03701