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ORCIDMuhammad Fatih Balin
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2020 – today
- 2024
[i7]Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek:
A Scalable and Effective Alternative to Graph Transformers. CoRR abs/2406.12059 (2024)- 2023
- [c4]Muhammed Fatih Balin, Ümit V. Çatalyürek:
Layer-Neighbor Sampling - Defusing Neighborhood Explosion in GNNs. NeurIPS 2023 - [i6]Muhammed Fatih Balin, Xiaojing An, Abdurrahman Yasar, Ümit V. Çatalyürek:
SGORP: A Subgradient-based Method for d-Dimensional Rectilinear Partitioning. CoRR abs/2310.02470 (2023) - [i5]Muhammed Fatih Balin, Dominique LaSalle, Ümit V. Çatalyürek:
Cooperative Minibatching in Graph Neural Networks. CoRR abs/2310.12403 (2023) - 2022
- [j1]Abdurrahman Yasar, Muhammed Fatih Balin, Xiaojing An, Kaan Sancak, Ümit V. Çatalyürek:
On Symmetric Rectilinear Partitioning. ACM J. Exp. Algorithmics 27: 1.2:1-1.2:26 (2022) - [c3]Muhammed Fatih Balin, Kaan Sancak, Ümit V. Çatalyürek:
MG-GCN: A Scalable multi-GPU GCN Training Framework. ICPP 2022: 79:1-79:11 - [i4]Muhammed Fatih Balin, Ümit V. Çatalyürek:
(LA)yer-neigh(BOR) Sampling: Defusing Neighborhood Explosion in GNNs. CoRR abs/2210.13339 (2022) - 2021
- [i3]Muhammed Fatih Balin, Kaan Sancak, Ümit V. Çatalyürek:
MG-GCN: Scalable Multi-GPU GCN Training Framework. CoRR abs/2110.08688 (2021) - 2020
- [c2]M. Yusuf Özkaya, Muhammed Fatih Balin, Ali Pinar, Ümit V. Çatalyürek:
A scalable graph generation algorithm to sample over a given shell distribution. IPDPS Workshops 2020: 227-236 - [i2]Abdurrahman Yasar, Muhammed Fatih Balin, Xiaojing An, Kaan Sancak, Ümit V. Çatalyürek:
On Symmetric Rectilinear Matrix Partitioning. CoRR abs/2009.07735 (2020)
2010 – 2019
- 2019
- [c1]Muhammed Fatih Balin, Abubakar Abid, James Y. Zou:
Concrete Autoencoders: Differentiable Feature Selection and Reconstruction. ICML 2019: 444-453 - [i1]Abubakar Abid, Muhammad Fatih Balin, James Y. Zou:
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction. CoRR abs/1901.09346 (2019)
Coauthor Index
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