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title
Graph Deep Learning Lab
description
The Graph Deep Learning Lab, headed by Dr. Xavier Bresson, investigates fundamental techniques in Graph Deep Learning, a new framework that combines graph theory and deep neural networks to tackle com
site name
Graph Deep Learning Lab
author
Chaitanya Joshi
updated
2025-12-15 15:01:35
raw text
Graph Deep Learning Lab Graph Deep Learning Lab Graph Deep Learning Lab Home Publications Blog People Contact Graph Deep Learning Lab We investigate fundamental techniques in Graph Deep Learning , a new framework that combines graph theory and deep neural networks to tackle complex data domains in physical science, natural language processing, computer vision, and combinatorial optimization. Publications Projects * All Models Applications Benchmarking Graph Neural Networks Identify universal building blocks for robust and scalable GNNs. Free-hand Sketches Representation learning for drawings via graphs with geometric and temporal information. Combinatorial Optimization Scalable deep learning systems for practical NP-Hard combinatorial problems such as the TSP. Quantum Chemistry Chemical synthesis, structure and property prediction using deep neural networks. Spatial Graph ConvNets Graph Neural Network architectures for inductive ...
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