| zer0n/deepframeworks |
2,077 |
|
0 |
0 |
almost 9 years ago |
0 |
|
17 |
|
|
| Evaluation of Deep Learning Frameworks |
| seongjunyun/Graph_Transformer_Networks |
694 |
|
0 |
0 |
about 3 years ago |
0 |
|
12 |
|
Jupyter Notebook |
| Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper) |
| inyeoplee77/SAGPool |
338 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
|
Python |
| Official PyTorch Implementation of SAGPool - ICML 2019 |
| benedekrozemberczki/AttentionWalk |
299 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018). |
| cszhangzhen/HGP-SL |
194 |
|
0 |
0 |
almost 5 years ago |
0 |
|
7 |
|
Python |
| Hierarchical Graph Pooling with Structure Learning |
| muhanzhang/DGCNN |
136 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
MATLAB |
| Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18". |
| weiyinwei/MMGCN |
132 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
Python |
| MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video |
| wirelessregistry/goprofui |
104 |
|
0 |
0 |
almost 6 years ago |
1 |
March 12, 2017 |
1 |
other |
Go |
| Profiling deployed binaries in real-time with flame graphs and plots. |
| TimZaman/dagstudio |
97 |
|
0 |
0 |
over 9 years ago |
0 |
|
11 |
mit |
JavaScript |
| Directed Acyclic Graph Studio with Javascript D3 |
| devnkong/FLAG |
94 |
|
0 |
0 |
about 4 years ago |
0 |
|
5 |
mit |
Python |
| Official implementation of our FLAG paper (CVPR2022) |
