Sami Abu-El-Haija

Orcid: 0009-0001-8617-3193

According to our database¹, Sami Abu-El-Haija authored at least 32 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2024

CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Greedy PIG: Adaptive Integrated Gradients.

[BibT_eX]

[DOI]

CoRR, 2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

[BibT_eX]

[DOI]

Phitchaya Mangpo Phothilimthana

CoRR, 2023

UGSL: A Unified Framework for Benchmarking Graph Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2023

SubMix: Learning to Mix Graph Sampling Heuristics.

[BibT_eX]

[DOI]

MohammadHossein Bateni

Proceedings of the Uncertainty in Artificial Intelligence, 2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

[BibT_eX]

[DOI]

Phitchaya Mangpo Phothilimthana

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Large Graph Property Prediction via Graph Segment Training.

[BibT_eX]

[DOI]

Kaidi Cao

Phitchaya Mangpo Phothilimthana

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Networks in TensorFlow.

[BibT_eX]

[DOI]

Bryan Perozzi

Sami Abu-El-Haija

Anton Tsitsulin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Machine Learning on Graphs: A Model and Comprehensive Taxonomy.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

TF-GNN: Graph Neural Networks in TensorFlow.

[BibT_eX]

[DOI]

CoRR, 2022

17th International Workshop on Mining and Learning with Graphs (MLG).

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Identifying and Analyzing Cryptocurrency Manipulations in Social Media.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2021

Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs.

[BibT_eX]

[DOI]

CoRR, 2021

Fast Graph Learning with Unique Optimal Solutions.

[BibT_eX]

[DOI]

CoRR, 2021

Implicit SVD for Graph Representation Learning.

[BibT_eX]

[DOI]

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

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning.

[BibT_eX]

[DOI]

Elan Sopher Markowitz

Keshav Balasubramanian

Proceedings of the 9th International Conference on Learning Representations, 2021

Zero-shot Synthesis with Group-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Graph Embedding with Personalized Context Distribution.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Human Languages in Source Code: Auto-Translation for Localized Instruction.

[BibT_eX]

[DOI]

Chris Piech

Sami Abu-El-Haija

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

End-to-End Learning of Compressible Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Meta Adaptation using Importance Weighted Demonstrations.

[BibT_eX]

[DOI]

Kiran Lekkala

Sami Abu-El-Haija

Laurent Itti

CoRR, 2019

N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.

[BibT_eX]

[DOI]

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

2018

Watch Your Step: Learning Node Embeddings via Graph Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Collaborative Deep Metric Learning for Video Understanding.

[BibT_eX]

[DOI]

Joonseok Lee

Sami Abu-El-Haija

Balakrishnan Varadarajan

Apostol Natsev

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Watch Your Step: Learning Graph Embeddings Through Attention.

[BibT_eX]

[DOI]

CoRR, 2017

Proportionate gradient updates with PercentDelta.

[BibT_eX]

[DOI]

Sami Abu-El-Haija

CoRR, 2017

Large-Scale Content-Only Video Recommendation.

[BibT_eX]

[DOI]

Joonseok Lee

Sami Abu-El-Haija

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Learning Edge Representations via Low-Rank Asymmetric Projections.

[BibT_eX]

[DOI]

Sami Abu-El-Haija

Bryan Perozzi

Rami Al-Rfou

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

YouTube-8M: A Large-Scale Video Classification Benchmark.

[BibT_eX]

[DOI]

Balakrishnan Varadarajan

Sudheendra Vijayanarasimhan

CoRR, 2016

Detecting Events and Key Actors in Multi-person Videos.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2013

Toward collaboration sensing: applying network analysis techniques to collaborative eye-tracking data.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Sami Abu-El-Haija

Timeline

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On csauthors.net:

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