graphtransformer
gnn-lspe
graphtransformer | gnn-lspe | |
---|---|---|
4 | 3 | |
804 | 214 | |
3.5% | - | |
0.0 | 0.0 | |
almost 3 years ago | about 2 years ago | |
Python | Python | |
MIT License | MIT License |
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graphtransformer
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[D] Laplacian positional encodings
Code for https://arxiv.org/abs/2012.09699 found: https://github.com/graphdeeplearning/graphtransformer
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Resources for graphs and graph based neural networks.
Hi everyone. I am Harshit. I am looking for some resources for GNN's. I am beginner so will you please help me find some resources for the same? I am working on Transformer based Graph networks. (Here)[https://github.com/graphdeeplearning/graphtransformer] is the link of the paper's implementation on which I am working.
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
What are some alternatives?
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
pytorch_geometric - Graph Neural Network Library for PyTorch
spektral - Graph Neural Networks with Keras and Tensorflow 2.
pna - Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer
PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks
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)