DyG2Vec: Efficient Representation Learning for Dynamic Graphs

2 code implementations • 30 Oct 2022 • Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates

Temporal graph neural networks have shown promising results in learning inductive representations by automatically extracting temporal patterns.

Dynamic Link Prediction Dynamic Node Classification +2

Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach

1 code implementation • 21 Sep 2021 • Mohammad Ali Alomrani, Reza Moravej, Elias B. Khalil

We present an end-to-end Reinforcement Learning framework for deriving better matching policies based on trial-and-error on historical data.

Decision Making reinforcement-learning +1

A Critical Review of Information Bottleneck Theory and its Applications to Deep Learning

no code implementations • 7 May 2021 • Mohammad Ali Alomrani

In the past decade, deep neural networks have seen unparalleled improvements that continue to impact every aspect of today's society.