gnn-lspe VS graphtransformer

Compare gnn-lspe vs graphtransformer and see what are their differences.

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022 (by vijaydwivedi75)
graph-neural-networks Transformers graph-transformer positional-encoding graph-deep-learning transformer-networks attention Graphs molecules gnn-lspe lspe graph-representation-learning geometric-deep-learning representation-learning Gnn message-passing
Source Code
arxiv.org
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graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21. (by graphdeeplearning)
graph-transformer Transformers Transformer attention graph-neural-networks graph-deep-learning aaai transformer-networks
Source Code
arxiv.org
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gnn-lspe graphtransformer
3 4
214 804
- 3.5%
0.0 0.0
about 2 years ago almost 3 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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gnn-lspe

Posts with mentions or reviews of gnn-lspe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-07.

graphtransformer

Posts with mentions or reviews of graphtransformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-27.

What are some alternatives?

When comparing gnn-lspe and graphtransformer you can also consider the following projects:

pytorch_geometric - Graph Neural Network Library for PyTorch

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

pna - Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

spektral - Graph Neural Networks with Keras and Tensorflow 2.

PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer

efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks

LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation

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)

gnn-lspe vs pytorch_geometric graphtransformer vs performer-pytorch gnn-lspe vs pna graphtransformer vs spektral gnn-lspe vs PDN graphtransformer vs GraphGPS gnn-lspe vs efficient-gnns graphtransformer vs LFattNet gnn-lspe vs gnn gnn-lspe vs gansformer gnn-lspe vs GraphGPS gnn-lspe vs PET-NeuS