Publications associées à Liste d'adjacence

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Reactive power optimization of distribution networks is traditionally addressed by physical model based methods, which often lead to locally optimal solutions and require heavy online inference time consumption. To improve the quality of the solution and r ...

State Grid Electric Power Research Inst2024

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Daniel Gatica-Perez, Sina Sajadmanesh

In this paper, we study the problem of learning Graph Neural Networks (GNNs) with Differential Privacy (DP). We propose a novel differentially private GNN based on Aggregation Perturbation (GAP), which adds stochastic noise to the GNN's aggregation functio ...

Berkeley2023

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models

Ali H. Sayed, Roula Nassif

In this article, we are interested in adaptive and distributed estimation of graph filters from streaming data. We formulate this problem as a consensus estimation problem over graphs, which can be addressed with diffusion LMS strategies. Most popular grap ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization

Ali H. Sayed, Kun Yuan

This paper introduces a new algorithm for consensus optimization in a multi-agent network, where all agents collaboratively find a minimizer for the sum of their private functions. All decentralized algorithms rely on communications between adjacent nodes. ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing

Ali H. Sayed, Roula Nassif

Graph filters, defined as polynomial functions of a graph-shift operator (GSO), play a key role in signal processing over graphs. In this work, we are interested in the adaptive and distributed estimation of graph filter coefficients from streaming graph s ...

IEEE COMPUTER SOC2018

Distributed Inference over Multitask Graphs under Smoothness

Ali H. Sayed, Stefan Vlaski, Roula Nassif

This paper formulates a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter vectors to estimate, subject to a smoothness condition over the graph. The smoothness requirement softens the tra ...

IEEE2018

Generalized Skipgrams for Pattern Discovery in Polyphonic Streams

Martin Alois Rohrmeier, Markus Franz Josef Neuwirth, Christoph Finkensiep

The discovery of patterns using a minimal set of assumptions constitutes a central challenge in the modeling of polyphonic music and complex streams in general. Skipgrams have been found to be a powerful model for capturing semi-local dependencies in seque ...

2018

Everything You Always Wanted to Know about Multicore Graph Processing but Were Afraid to Ask

Willy Zwaenepoel, Baptiste Joseph Eustache Lepers, Jasmina Malicevic

Graph processing systems are used in a wide variety of fields, ranging from biology to social networks, and a large number of such systems have been described in the recent literature. We perform a systematic comparison of various techniques proposed to sp ...

USENIX Association2017

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Liste d'adjacence

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Dispatch-aware Optimal Planning of Active Distribution Networks including Energy Storage Systems

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models

Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization

Ramsey numbers of ordered graphs

A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing

Distributed Inference over Multitask Graphs under Smoothness

Generalized Skipgrams for Pattern Discovery in Polyphonic Streams

Everything You Always Wanted to Know about Multicore Graph Processing but Were Afraid to Ask

Graph Chatbot

Chattez avec Graph Search

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models

Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization

Generalized Skipgrams for Pattern Discovery in Polyphonic Streams

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Ramsey numbers of ordered graphs

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Distributed Inference over Multitask Graphs under Smoothness

Everything You Always Wanted to Know about Multicore Graph Processing but Were Afraid to Ask

Dispatch-aware Optimal Planning of Active Distribution Networks including Energy Storage Systems

A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing