Nesreen K. Ahmed

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 125

Top Venues

CoRR

WWW (Companion Volume)

ACM Trans. Knowl. Discov. Data

IEEE BigData

Publications

Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed
Forward Learning of Graph Neural Networks. ICLR (2024)
Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. CoRR (2024)
Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. CoRR (2024)
Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
A structure-aware framework for learning device placements on computation graphs. CoRR (2024)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Nadav Schneider, Niranjan Hasabnis, Vy A. Vo, Tal Kadosh, Neva Krien, Mihai Capota, Abdul Wasay, Guy Tamir, Ted Willke, Nesreen K. Ahmed, Yuval Pinter, Timothy Mattson, Gal Oren
MPIrigen: MPI Code Generation through Domain-Specific Language Models. CoRR (2024)
Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM (2024)
Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed
Forward Learning of Graph Neural Networks. CoRR (2024)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. 5 (5) (2024)
Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. CoRR (2024)
Nesreen K. Ahmed, Manoj Kumar
GrAPL 2024 Preface and Committees. IPDPS (Workshops) (2024)
Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
Large Generative Graph Models. CoRR (2024)
Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari
The Landscape and Challenges of HPC Research and LLMs. CoRR (2024)
Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR (2023)
Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed
A ML-based Approach for HTML-based Style Recommendation. WWW (Companion Volume) (2023)
Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, Gal Oren
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. CoRR (2023)
Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Nesreen K. Ahmed, Ali Jannesari
AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models. CoRR (2023)
Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. CoRR (2023)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. CoRR (2023)
Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR (2023)
Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. CoRR (2023)
Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Bin Lei, Ali Jannesari
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset. CoRR (2023)
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR (2023)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Augmenting Recurrent Graph Neural Networks with a Cache. KDD (2023)
Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, Gal Oren
Scope is all you need: Transforming LLMs for HPC Code. CoRR (2023)
Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. MLSys (2023)
Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. BigData (2023)
Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS (2023)
Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park
On Graph Time-Series Representations for Temporal Networks. WWW (Companion Volume) (2023)
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
Neural Compositional Rule Learning for Knowledge Graph Reasoning. ICLR (2023)
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed
Bias and Fairness in Large Language Models: A Survey. CoRR (2023)
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
Neural Compositional Rule Learning for Knowledge Graph Reasoning. CoRR (2023)
Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. NeurIPS (2023)
Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz
Network Report: A Structured Description for Network Datasets. CoRR (2022)
Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML (2022)
Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry
Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed
Personalized Visualization Recommendation. ACM Trans. Web 16 (3) (2022)
Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. ECML/PKDD (2) (2022)
Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar, Nesreen K. Ahmed
Technology Growth Ranking Using Temporal Graph Representation Learning. WWW (Companion Volume) (2022)
April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Yeuk-Yin Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed
Graph Learning with Localized Neighborhood Fairness. CoRR (2022)
Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. CoRR (2022)
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW (2022)
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR (2022)
Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. CoRR (2022)
Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR (2022)
Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz
Network Report: A Structured Description for Network Datasets. CIKM (2022)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR (2022)
Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR (2022)
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
DistGNN: scalable distributed training for large-scale graph neural networks. SC (2021)
Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed
Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData (2021)
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR (2021)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
Deep graph similarity learning: a survey. Data Min. Knowl. Discov. 35 (3) (2021)
John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Dynamic Node Embeddings From Edge Streams. IEEE Trans. Emerg. Top. Comput. Intell. 5 (6) (2021)
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data 15 (1) (2021)
Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM (2021)
Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi
Online Sampling of Temporal Networks. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
Graph Neural Networks with Heterophily. AAAI (2021)
Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. CoRR (2021)
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed
Personalized Visualization Recommendation. CoRR (2021)
Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys (2021)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) (2020)
Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
Graph Neural Networks with Heterophily. CoRR (2020)
Sriram Aananthakrishnan, Nesreen K. Ahmed, Vincent Cavé, Marcelo Cintra, Yigit Demir, Kristof Du Bois, Stijn Eyerman, Joshua B. Fryman, Ivan Ganev, Wim Heirman, Hans-Christian Hoppe, Jason Howard, Ibrahim Hur, Midhunchandra Kodiyath, Samkit Jain, Daniel S. Klowden, Marek M. Landowski, Laurent Montigny, Ankit More, Przemyslaw Ossowski, Robert Pawlowski, Nick Pepperling, Fabrizio Petrini, Mariusz Sikora, Balasubramanian Seshasayee, Shaden Smith, Sebastian Szkoda, Sanjaya Tayal, Jesmin Jahan Tithi, Yves Vandriessche, Izajasz P. Wrosz
PIUMA: Programmable Integrated Unified Memory Architecture. CoRR (2020)
Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed
Inferring Individual Level Causal Models from Graph-based Relational Time Series. CoRR (2020)
Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed
Fast and Accurate Estimation of Typed Graphlets. WWW (Companion Volume) (2020)
Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR (2020)
Nesreen K. Ahmed, Nick Duffield
Adaptive Shrinkage Estimation for Streaming Graphs. NeurIPS (2020)
Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Ryan A. Rossi, Nesreen K. Ahmed
Correction to: Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 10 (1) (2020)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori
A Structural Graph Representation Learning Framework. WSDM (2020)
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
Heterogeneous Graphlets. CoRR (2020)
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed
From Closing Triangles to Closing Higher-Order Motifs. WWW (Companion Volume) (2020)
John Boaz Lee, Xiangnan Kong, Constance M. Moore, Nesreen K. Ahmed
Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions. SDM (2020)
Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed
Deep Inductive Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 32 (3) (2020)
Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO (2020)
Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR (2019)
Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed
Estimation of Graphlet Counts in Massive Networks. IEEE Trans. Neural Networks Learn. Syst. 30 (1) (2019)
Nesreen K. Ahmed, Nick Duffield
Network Shrinkage Estimation. CoRR (2019)
John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh
Attention Models in Graphs: A Survey. ACM Trans. Knowl. Discov. Data 13 (6) (2019)
John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Temporal Network Representation Learning. CoRR (2019)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
Deep Graph Similarity Learning: A Survey. CoRR (2019)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
Deep Graph Similarity Learning for Brain Data Analysis. CIKM (2019)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Linear-time Hierarchical Community Detection. CoRR (2019)
Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi
Temporal Network Sampling. CoRR (2019)
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh
Heterogeneous Network Motifs. CoRR (2019)
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. CoRR (2019)
Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica
Deep Reinforcement Learning in System Optimization. CoRR (2019)
Ryan A. Rossi, Nesreen K. Ahmed
Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 9 (1) (2019)
Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee
From Community to Role-based Graph Embeddings. CoRR (2019)
Nesreen K. Ahmed
GraML 2018 Keynote. IPDPS Workshops (2018)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh
HONE: Higher-Order Network Embeddings. CoRR (2018)
Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed, Hoda Eldardiry
Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs. IEEE BigData (2018)
Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou
Similarity-based Multi-label Learning. IJCNN (2018)
Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry
Learning Role-based Graph Embeddings. CoRR (2018)
Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Continuous-Time Dynamic Network Embeddings. WWW (Companion Volume) (2018)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh
Interactive Higher-Order Network Analysis. ICDM Workshops (2018)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh
Higher-order Network Representation Learning. WWW (Companion Volume) (2018)
Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed
Deep Inductive Network Representation Learning. WWW (Companion Volume) (2018)
Ryan A. Rossi, Nesreen K. Ahmed, Rong Zhou, Hoda Eldardiry
Interactive Visual Graph Mining and Learning. ACM Trans. Intell. Syst. Technol. 9 (5) (2018)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR (2018)

Nesreen K. Ahmed.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Nesreen K. Ahmed