Cristian Bodnar | DeepAI

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∙ 06/06/2023

CIN++: Enhancing Topological Message Passing

Graph Neural Networks (GNNs) have demonstrated remarkable success in lea...

0 Lorenzo Giusti, et al. ∙

∙ 01/23/2023

On the Expressive Power of Geometric Graph Neural Networks

The expressive power of Graph Neural Networks (GNNs) has been studied ex...

0 Chaitanya K. Joshi, et al. ∙

∙ 06/17/2022

Sheaf Neural Networks with Connection Laplacians

A Sheaf Neural Network (SNN) is a type of Graph Neural Network (GNN) tha...

109 Federico Barbero, et al. ∙

∙ 04/20/2022

Simplicial Attention Networks

Graph representation learning methods have mostly been limited to the mo...

11 Christopher Wei Jin Goh, et al. ∙

∙ 02/09/2022

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Cellular sheaves equip graphs with "geometrical" structure by assigning ...

120 Cristian Bodnar, et al. ∙

∙ 06/23/2021

Weisfeiler and Lehman Go Cellular: CW Networks

Graph Neural Networks (GNNs) are limited in their expressive power, stru...

8 Cristian Bodnar, et al. ∙

∙ 03/04/2021

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

The pairwise interaction paradigm of graph machine learning has predomin...

33 Cristian Bodnar, et al. ∙

∙ 11/14/2020

A Geometric Perspective on Self-Supervised Policy Adaptation

One of the most challenging aspects of real-world reinforcement learning...

18 Cristian Bodnar, et al. ∙

∙ 09/30/2020

The Role of Isomorphism Classes in Multi-Relational Datasets

Multi-interaction systems abound in nature, from colloidal suspensions t...

7 Vijja Wichitwechkarn, et al. ∙

∙ 06/12/2020

On Second Order Behaviour in Augmented Neural ODEs

Neural Ordinary Differential Equations (NODEs) are a new class of models...

18 Alexander Norcliffe, et al. ∙

∙ 02/10/2020

Deep Graph Mapper: Seeing Graphs through the Neural Lens

Recent advancements in graph representation learning have led to the eme...

13 Cristian Bodnar, et al. ∙

∙ 10/01/2019

Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping

The distributional perspective on reinforcement learning (RL) has given ...

1 Cristian Bodnar, et al. ∙

∙ 06/24/2019

Proximal Distilled Evolutionary Reinforcement Learning

Reinforcement Learning (RL) has recently achieved tremendous success due...

3 Cristian Bodnar, et al. ∙

∙ 05/02/2018

Text to Image Synthesis Using Generative Adversarial Networks

Generating images from natural language is one of the primary applicatio...

1 Cristian Bodnar, et al. ∙

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