gnn-lspe
efficient-gnns
gnn-lspe | efficient-gnns | |
---|---|---|
3 | 2 | |
214 | 525 | |
- | - | |
0.0 | 0.0 | |
about 2 years ago | about 1 year ago | |
Python | Python | |
MIT License | - |
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gnn-lspe
- [D] Machine Learning - WAYR (What Are You Reading) - Week 128
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[R] Graph Neural Networks with Learnable Structural and Positional Representations
Code for https://arxiv.org/abs/2110.07875 found: https://github.com/vijaydwivedi75/gnn-lspe
efficient-gnns
- [R] Recent Advances in Efficient and Scalable Graph Neural Networks
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[Project] Efficient and scalable Graph Neural Networks papers
Please help me improve it: https://github.com/chaitjo/awesome-efficient-gnn
What are some alternatives?
pytorch_geometric - Graph Neural Network Library for PyTorch
euler - A distributed graph deep learning framework.
pna - Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
awesome-drug-pair-scoring - Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Torch-Pruning - [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
graphtransformer - Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer
gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
gansformer - Generative Adversarial Transformers
PET-NeuS - PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)