1 code implementation • 25 Jul 2022 • Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
We propose a framework that automatically transforms non-scalable GNNs into precomputation-based GNNs which are efficient and scalable for large-scale graphs.
no code implementations • 20 May 2022 • Pratik Gajane, Akrati Saxena, Maryam Tavakol, George Fletcher, Mykola Pechenizkiy
In this article, we provide an extensive overview of fairness approaches that have been implemented via a reinforcement learning (RL) framework.
1 code implementation • 21 Apr 2020 • Larissa C. Shimomura, George Fletcher, Nikolay Yakovets
We propose Graph Generating Dependencies (GGDs), a new class of dependencies for property graphs.
Databases H.2
no code implementations • 10 Feb 2020 • Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy
A learning process with the plasticity property often requires reinforcement signals to guide the process.
no code implementations • 2 Apr 2019 • Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, Matt Coler, George Fletcher, Mykola Pechenizkiy
Hebbian learning is a biologically plausible mechanism for modeling the plasticity property in artificial neural networks (ANNs), based on the local interactions of neurons.
no code implementations • 22 Mar 2019 • Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy
Inspired by biology, plasticity can be modeled in artificial neural networks by using Hebbian learning rules, i. e. rules that update synapses based on the neuron activations and reinforcement signals.
no code implementations • 25 May 2018 • Yulong Pei, Xin Du, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy
Almost all previous methods represent a node into a point in space and focus on local structural information, i. e., neighborhood information.
no code implementations • 19 Apr 2018 • Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George Fletcher, Mykola Pechenizkiy
Many real-world control and classification tasks involve a large number of features.