Hesham Mostafa

According to our database, Hesham Mostafa authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed Training of Large Graph Neural Networks with Variable Communication Rates.

Juan Cerviño, Md Asadullah Turja, Hesham Mostafa, Nageen Himayat, Alejandro Ribeiro

CoRR, 2024

GraphAny: A Foundation Model for Node Classification on Any Graph.

Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

CoRR, 2024

PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints.

Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar

CoRR, 2024

FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs.

Uday Mallappa, Hesham Mostafa, Michael Galkin, Mariano Phielipp, Somdeb Majumdar

CoRR, 2024

MinBLoG: Minimization of Boolean Logic Functions using Graph Attention Network.

Prianka Sengupta, Aakash Tyagi, Jiang Hu, Vivek K. Rajan, Hesham Mostafa, Somdeb Majumdar

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Towards Foundation Models for Knowledge Graph Reasoning.

Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs.

Hesham Mostafa, Adam Grabowski, Md Asadullah Turja, Juan Cerviño, Alejandro Ribeiro, Nageen Himayat

CoRR, 2023

Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs.

Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Generative Graph Augmentation for Minority Class in Fraud Detection.

Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs.

Hesham Mostafa

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

On Local Aggregation in Heterophilic Graphs.

Hesham Mostafa, Marcel Nassar, Somdeb Majumdar

CoRR, 2021

Implicit SVD for Graph Representation Learning.

Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Attention-based Image Upsampling.

Souvik Kundu, Hesham Mostafa, Sharath Nittur Sridhar, Sairam Sundaresan

CoRR, 2020

Permutohedral-GCN: Graph Convolutional Networks with Global Attention.

Hesham Mostafa, Marcel Nassar

CoRR, 2020

2019

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps.

Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbrück

IEEE Trans. Neural Networks Learn. Syst., 2019

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks.

Emre O. Neftci, Hesham Mostafa, Friedemann Zenke

IEEE Signal Process. Mag., 2019

Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters.

Hesham Mostafa

CoRR, 2019

Surrogate Gradient Learning in Spiking Neural Networks.

Emre O. Neftci, Hesham Mostafa, Friedemann Zenke

CoRR, 2019

Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization.

Hesham Mostafa, Xin Wang

Proceedings of the 36th International Conference on Machine Learning, 2019

Single-Bit-per-Weight Deep Convolutional Neural Networks without Batch-Normalization Layers for Embedded Systems.

Mark D. McDonnell, Hesham Mostafa, Runchun Wang, André van Schaik

Proceedings of the 4th Asia-Pacific Conference on Intelligent Robot Systems, 2019

2018

Supervised Learning Based on Temporal Coding in Spiking Neural Networks.

Hesham Mostafa

IEEE Trans. Neural Networks Learn. Syst., 2018

A Learning Framework for Winner-Take-All Networks with Stochastic Synapses.

Hesham Mostafa, Gert Cauwenberghs

Neural Comput., 2018

Synaptic Plasticity Dynamics for Deep Continuous Local Learning.

Jacques Kaiser, Hesham Mostafa, Emre Neftci

CoRR, 2018

Small-footprint Spiking Neural Networks for Power-efficient Keyword Spotting.

Bruno U. Pedroni, Sadique Sheik, Hesham Mostafa, Somnath Paul, Charles Augustine, Gert Cauwenberghs

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017

Deep supervised learning using local errors.

Hesham Mostafa, Vishwajith Ramesh, Gert Cauwenberghs

CoRR, 2017

2016

Beyond spike-timing dependent plasticity in memristor crossbar arrays.

Hesham Mostafa, Christian Mayr, Giacomo Indiveri

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015

Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States.

Hesham Mostafa, Lorenz K. Müller, Giacomo Indiveri

Neural Comput., 2015

An event-based architecture for solving constraint satisfaction problems.

Hesham Mostafa, Lorenz K. Müller, Giacomo Indiveri

CoRR, 2015

Stochastic Interpretation of Quasi-periodic Event-based Systems.

Hesham Mostafa, Giacomo Indiveri

CoRR, 2015

2014

Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits.

Hesham Mostafa, Giacomo Indiveri

Neural Comput., 2014

A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures.

Hesham Mostafa, Federico Corradi, Fabio Stefanini, Giacomo Indiveri

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

2013

Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems.

Hesham Mostafa, Lorenz K. Müller, Giacomo Indiveri

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Automated synthesis of asynchronous event-based interfaces for neuromorphic systems.

Hesham Mostafa, Federico Corradi, Marc Osswald, Giacomo Indiveri

Proceedings of the 21st European Conference on Circuit Theory and Design, 2013