Shenyang Huang | DeepAI

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Featured Co-authors

Jure Leskovec
142 publications
Michael Bronstein
38 publications
Guillaume Rabusseau
28 publications
Vincent Francois-Lavet
18 publications
Weihua Hu
18 publications
Reihaneh Rabbany
15 publications
Matthias Fey
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Emanuele Rossi
11 publications
Stefano Alletto
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Kellin Pelrine
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Jacob Danovitch
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∙ 08/15/2023

Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations

Recently, Graph Neural Networks (GNNs) have shown promising performance ...

0 Lekang Jiang, et al. ∙

∙ 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. ∙

∙ 05/15/2023

Fast and Attributed Change Detection on Dynamic Graphs with Density of States

How can we detect traffic disturbances from international flight transpo...

0 Shenyang Huang, et al. ∙

∙ 02/02/2023

Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs

Dynamic graphs are rich data structures that are used to model complex r...

0 Shenyang Huang, et al. ∙

∙ 07/20/2022

Towards Better Evaluation for Dynamic Link Prediction

There has been recent success in learning from static graphs, but despit...

0 Farimah Poursafaei, et al. ∙

∙ 07/02/2020

Laplacian Change Point Detection for Dynamic Graphs

Dynamic and temporal graphs are rich data structures that are used to mo...

0 Shenyang Huang, et al. ∙

∙ 03/02/2020

RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning

Almost all neural architecture search methods are evaluated in terms of ...

0 Stefano Alletto, et al. ∙

∙ 09/14/2019

Neural Architecture Search for Class-incremental Learning

In class-incremental learning, a model learns continuously from a sequen...

0 Shenyang Huang, et al. ∙

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