Publications associées à Representation Learning for Multi-relational Data

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The power of adaptivity in source identification with time queries on the path

Patrick Thiran, Gergely Odor, Victor Cyril L Lecomte

We study the problem of identifying the source of a stochastic diffusion process spreading on a graph based on the arrival times of the diffusion at a few queried nodes. In a graph

G=(V,E)

, an unknown source node

v^* \in V

is drawn uniformly at random, ...

2022

Representation Learning for Multi-relational Data

Graph Chatbot

Chattez avec Graph Search

Quantization for Distributed Processing and Learning of Structured Data

Graph Embedding for Retrieval

Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets

Incompleteness of graph neural networks for points clouds in three dimensions

Graph integration of structured, semistructured and unstructured data for data journalism

The power of adaptivity in source identification with time queries on the path

Annihilation Filter Approach For Estimating Graph Dynamics From Diffusion Processes

Explainability and Graph Learning From Social Interactions

A Solution to Adaptive Mobile Manipulator Throwing

Propagation on Multi-relational Graphs for Node Regression

Quantization for Distributed Processing and Learning of Structured Data

Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets

Graph Embedding for Retrieval

Graph integration of structured, semistructured and unstructured data for data journalism

Explainability and Graph Learning From Social Interactions

Incompleteness of graph neural networks for points clouds in three dimensions

The power of adaptivity in source identification with time queries on the path

Annihilation Filter Approach For Estimating Graph Dynamics From Diffusion Processes

Propagation on Multi-relational Graphs for Node Regression

A Solution to Adaptive Mobile Manipulator Throwing