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The Wayback Machine - https://web.archive.org/web/20210813135617/https://github.com/topics/graph-representation-learning
#
graph-representation-learning
Here are
55 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Aug 1, 2021
Python
links to conference publications in graph-based deep learning
Updated
Aug 12, 2021
Jupyter Notebook
Updated
May 25, 2021
Python
Repository for benchmarking graph neural networks
Updated
Jul 29, 2021
Jupyter Notebook
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Updated
May 30, 2021
Jupyter Notebook
Strategies for Pre-training Graph Neural Networks
Updated
Aug 11, 2021
Python
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
Updated
Nov 22, 2019
Python
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Updated
Feb 25, 2021
Python
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Updated
Jul 20, 2020
Python
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Updated
Jun 18, 2021
Python
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Updated
Aug 1, 2021
Python
Transformer for Graph Classification (Pytorch and Tensorflow)
Updated
Aug 13, 2021
Python
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
Updated
Jan 17, 2021
Python
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Updated
Aug 1, 2021
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
Jul 27, 2021
Python
Efficient Graph Neural Networks - a curated list of papers and projects
A curated list for awesome self-supervised learning for graphs.
A curated list for awesome graph representation learning resources.
Updated
Sep 6, 2019
Python
Updated
Sep 28, 2020
Python
Subgraph Neural Networks (NeurIPS 2020)
Updated
Mar 5, 2021
Python
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Updated
Jul 9, 2021
Python
Inductive relation prediction by subgraph reasoning, ICML'20
Updated
Aug 12, 2021
Python
Variational Graph Recurrent Neural Networks - PyTorch
Updated
Jul 8, 2020
Python
A curated list of awesome graph representation learning.
Code for the paper 'Learning TSP Requires Rethinking Generalization' (arXiv Pre-print)
Updated
Feb 3, 2021
Jupyter Notebook
Daily reading group on graphs at KEG
Transformers are Graph Neural Networks!
Updated
Dec 27, 2020
Python
PyGCL: Graph Contrastive Learning Library for PyTorch
Updated
Aug 12, 2021
Python
Graph Embedding via Frequent Subgraphs
Updated
May 5, 2020
Python
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