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Awesome GitHub RepositoriesGraph Transformer Frameworks
PyTorch-based frameworks dedicated to building graph transformer models for structural representation learning.
Distinct from PyTorch-Based Frameworks: Distinct from general deep learning frameworks by specializing in graph transformer implementations.
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Awesome Graph Transformer Frameworks GitHub Repositories
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- seongjunyun/graph_transformer_networks
seongjunyun/Graph_Transformer_Networks
1,082Ver en GitHubGraphTransformerNetworks is a graph neural network framework implemented in PyTorch for learning structural representations and performing classification tasks on complex heterogeneous graphs and relational networks. The project provides automated preprocessing pipelines to transform raw graph datasets into standardized formats, alongside model training, forward passes, and gradient backpropagation executed through dynamic tensor operations. The architecture incorporates self-attention mechanisms applied directly to graph structures to learn contextual representations of nodes and edges ac
Implements a PyTorch framework for learning structural representations on complex heterogeneous graphs and networks.
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