graph-representation-learning topic

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

benedekrozemberczki

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

malllabiisc

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

vijaydwivedi75

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

chaitjo

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

daiquocnguyen

links to conference publications in graph-based deep learning

naganandy

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

dsgiitr

Code and resources on scalable and efficient Graph Neural Networks

chaitjo

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

acbull

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

acbull