Here are
45 public repositories
matching this topic...
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Updated
Jul 24, 2021
Python
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Updated
Jun 24, 2021
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Updated
Jun 19, 2021
Python
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Updated
Jul 18, 2019
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
Jun 24, 2021
Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Updated
Apr 14, 2020
Python
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Updated
May 9, 2021
Python
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Updated
Jun 19, 2021
Python
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Updated
Jun 24, 2021
Python
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Updated
Jul 9, 2021
Python
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Updated
Oct 27, 2020
Jupyter Notebook
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Updated
Jun 17, 2021
Python
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Updated
Nov 29, 2020
Python
Updated
Dec 10, 2020
Python
Quaternion Graph Neural Networks (NeurIPS 2020 Workshop on DiffGeo4DL) (Pytorch and Tensorflow)
Updated
Jul 19, 2021
Python
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Updated
Jun 19, 2021
Python
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Updated
Jun 10, 2021
Python
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Updated
Nov 3, 2020
Python
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Updated
May 27, 2021
Python
A list of data mining and machine learning papers that I implemented in 2019.
Updated
May 23, 2020
Python
Bags of Tricks in OGB (node classification) with GCNs.
Updated
Jul 14, 2021
Python
Pytorch implementation of Relational GCN for node classification
Updated
May 4, 2021
Python
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
Updated
Jun 19, 2021
Python
Updated
Dec 30, 2020
Python
Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"
Updated
Nov 17, 2020
Python
Evaluation of gender bias in a graph-based classification algorithm.
Updated
Jan 17, 2018
Jupyter Notebook
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation
Updated
Nov 2, 2019
Python
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