Extraction and analysis of traffic and topologies of transportation networks

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This work presents a graph neural network (GNN) framework for solving the maximum independent set (MIS) problem, inspired by dynamic programming (DP). Specifically, given a graph, we propose a DP-like recursive algorithm based on GNNs that firstly construc ...

A graph H is a minor of a second graph G if G can be transformed into H by two operations: 1) deleting nodes and/or edges, or 2) contracting edges. Coarse-grained reconfigurable array (CGRA) application mapping is closely related to the graph minor problem ...

Time-sensitive networks, as in the context of IEEE Time-Sensitive Networking (TSN) and IETF Deterministic Networking (DetNet), offer deterministic services with guaranteed bounded latency in order to support safety-critical applications. In this thesis, we ...

Various forms of real-world data, such as social, financial, and biological networks, can be represented using graphs. An efficient method of analysing this type of data is to extract subgraph patterns, such as cliques, cycles, and motifs, from graphs. For ...

The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing environment. In this framework, the agents repeatedly update their beliefs based on private observation ...

In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rates and optimize faster. In the decentralized setting, in which workers commu ...

We propose a novel system leveraging deep learning-based methods to predict urban traffic accidents and estimate their severity. The major challenge is the data imbalance problem in traffic accident prediction. The problem is caused by numerous zero values ...

We study an energy market composed of producers who compete to supply energy to different markets and want to maximize their profits. The energy market is modeled by a graph representing a constrained power network where nodes represent the markets and lin ...

As traffic congestion becomes a huge problem for most developing and developed countries across the world, intelligent transportation systems (ITS) are becoming a hot topic that is attracting attention of researchers and the general public alike. In this p ...

Extraction and analysis of traffic and topologies of transportation networks

Chattez avec Graph Search

Maximum Independent Set: Self-Training through Dynamic Programming

GRAMM: Fast CGRA Application Mapping Based on A Heuristic for Finding Graph Minors

Worst-Case Delay Analysis of Time-Sensitive Networks with Network Calculus

Acceleration of graph pattern mining and applications to financial crime

Discovering Influencers in Opinion Formation Over Social Graphs

Beyond Spectral Gap: The Role of the Topology in Decentralized Learning

From Prediction to Prevention: Leveraging Deep Learning in Traffic Accident Prediction Systems

Equilibria in Network Constrained Energy Markets

Increasing Traffic Flows with DSRC Technology: Field Trials and Performance Evaluation