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The Wayback Machine - https://web.archive.org/web/20200626181645/https://github.com/topics/graph-classification
Here are
43 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Jun 15, 2020
Python
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Updated
May 31, 2020
Python
A curated list of data mining papers about fraud detection.
Updated
Jun 21, 2020
Python
CogDL: An Extensive Research Toolkit for Graphs
Updated
Jun 23, 2020
Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
May 31, 2020
Python
A scikit-learn compatible library for graph kernels
Updated
May 25, 2020
Python
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Updated
May 13, 2020
Jupyter Notebook
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
May 31, 2020
Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
May 31, 2020
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
May 31, 2020
Python
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Updated
Apr 24, 2020
Jupyter Notebook
Transformer for Graph Classification (in Pytorch and Tensorflow)
Updated
Jun 24, 2020
Python
A convolutional neural network for graph classification in PyTorch
Updated
Feb 15, 2019
Python
A package for computing Graph Kernels
Hierarchical Graph Pooling with Structure Learning
Updated
Jun 11, 2020
Python
Graph Embedding via Frequent Subgraphs
Updated
May 5, 2020
Python
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
Nov 11, 2019
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
A list of data mining and machine learning papers that I implemented in 2019.
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
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Updated
Nov 3, 2019
Python
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
Updated
Jun 1, 2020
Python
Updated
Apr 11, 2020
Python
Functional Brain Network Classification Method
Updated
Jun 20, 2019
Python
The reference implementation of FEATHER from "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models"
Updated
May 31, 2020
Python
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Updated
Jun 2, 2020
Python
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