Emanuele Rossi | DeepAI

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∙ 07/03/2023

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

We present the Temporal Graph Benchmark (TGB), a collection of challengi...

0 Shenyang Huang, et al. ∙

∙ 05/17/2023

Edge Directionality Improves Learning on Heterophilic Graphs

Graph Neural Networks (GNNs) have become the de-facto standard tool for ...

0 Emanuele Rossi, et al. ∙

∙ 09/30/2022

Graph Neural Networks for Link Prediction with Subgraph Sketching

Many Graph Neural Networks (GNNs) perform poorly compared to simple heur...

56 Benjamin Paul Chamberlain, et al. ∙

∙ 06/16/2022

Learning to Infer Structures of Network Games

Strategic interactions between a group of individuals or organisations c...

26 Emanuele Rossi, et al. ∙

∙ 02/14/2022

Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization

In the sequential decision making setting, an agent aims to achieve syst...

0 Mirco Mutti, et al. ∙

∙ 11/23/2021

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

While Graph Neural Networks (GNNs) have recently become the de facto sta...

17 Emanuele Rossi, et al. ∙

∙ 06/21/2021

GRAND: Graph Neural Diffusion

We present Graph Neural Diffusion (GRAND) that approaches deep learning ...

129 Benjamin Paul Chamberlain, et al. ∙

∙ 09/24/2020

Tuning Word2vec for Large Scale Recommendation Systems

Word2vec is a powerful machine learning tool that emerged from Natural L...

0 Benjamin P. Chamberlain, et al. ∙

∙ 06/18/2020

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Graph Neural Networks (GNNs) have recently become increasingly popular d...

11 Emanuele Rossi, et al. ∙

∙ 04/23/2020

SIGN: Scalable Inception Graph Neural Networks

Geometric deep learning, a novel class of machine learning algorithms ex...

22 Emanuele Rossi, et al. ∙

∙ 05/16/2019

ncRNA Classification with Graph Convolutional Networks

Non-coding RNA (ncRNA) are RNA sequences which don't code for a gene but...

21 Emanuele Rossi, et al. ∙

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