Publications associées à Equivariant Neural Architectures for Representing and Generating Graphs

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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

Equivariant Neural Architectures for Representing and Generating Graphs

Graph Chatbot

Chattez avec Graph Search

Incompleteness of graph neural networks for points clouds in three dimensions

Deep MinCut: Learning Node Embeddings by Detecting Communities

Planted matching problems on random hypergraphs

Annihilation Filter Approach For Estimating Graph Dynamics From Diffusion Processes

A Versatile Mapping Approach for Technology Mapping and Graph Optimization

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

Constrained Language Models for Interactive Poem Generation

Explainability and Graph Learning From Social Interactions

Representation Learning for Multi-relational Data

Sequential metric dimension for random graphs

Annihilation Filter Approach For Estimating Graph Dynamics From Diffusion Processes

Deep MinCut: Learning Node Embeddings by Detecting Communities

A Versatile Mapping Approach for Technology Mapping and Graph Optimization

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

Explainability and Graph Learning From Social Interactions

Representation Learning for Multi-relational Data

Sequential metric dimension for random graphs

Planted matching problems on random hypergraphs

Incompleteness of graph neural networks for points clouds in three dimensions

Constrained Language Models for Interactive Poem Generation