Here are
60 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Aug 1, 2021
Python
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Updated
Aug 1, 2021
Python
A curated list of data mining papers about fraud detection.
Updated
Jul 25, 2021
Python
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Updated
Aug 13, 2021
Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
Aug 1, 2021
Python
A scikit-learn compatible library for graph kernels
Updated
Aug 3, 2021
Python
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Updated
Oct 16, 2020
Jupyter Notebook
Transformer for Graph Classification (Pytorch and Tensorflow)
Updated
Aug 15, 2021
Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
Aug 1, 2021
Python
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
Jun 24, 2021
Python
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Updated
Jul 14, 2021
Jupyter Notebook
Hierarchical Graph Pooling with Structure Learning
Updated
Jul 12, 2021
Python
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
Jul 27, 2021
Python
A convolutional neural network for graph classification in PyTorch
Updated
Feb 15, 2019
Python
A package for computing Graph Kernels
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Updated
Jun 21, 2020
Python
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Updated
Jun 9, 2021
Python
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Updated
Mar 19, 2019
Python
Graph Embedding via Frequent Subgraphs
Updated
May 5, 2020
Python
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
Updated
Jan 12, 2021
Java
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Updated
Aug 1, 2021
Python
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021).
Updated
Feb 27, 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
Aug 1, 2021
Python
Quaternion Graph Neural Networks (NeurIPS 2020 Workshop on DiffGeo4DL) (Pytorch and Tensorflow)
Updated
Aug 12, 2021
Python
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Updated
Feb 2, 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.
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
Updated
Jun 22, 2021
Python
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