Open Source Libs
Find Open Source Packages
Open Source Libraries
👉
Graph Classification
26 Open Source Graph Classification Software Projects
Free and open source graph classification code projects including engines, APIs, generators, and tools.
Awesome Graph Classification
3766 ⭐
A collection of important graph embedding, classification and representation learning papers with implementations.
Capsgnn
925 ⭐
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Awesome Fraud Detection Papers
659 ⭐
A curated list of data mining papers about fraud detection.
Cogdl
427 ⭐
CogDL: An Extensive Research Toolkit for Graphs
Simgnn
305 ⭐
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Grakel
265 ⭐
A scikit-learn compatible library for graph kernels
Graph_nn
244 ⭐
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Gam
215 ⭐
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Appnp
212 ⭐
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Seal Ci
162 ⭐
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Graph_datasets
161 ⭐
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
Ppnp
153 ⭐
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Graph Transformer
146 ⭐
Transformer for Graph Classification (in Pytorch and Tensorflow)
Hgp Sl
104 ⭐
Hierarchical Graph Pooling with Structure Learning
Cnn Graph Classification
82 ⭐
A convolutional neural network for graph classification in PyTorch
Graphkernels
71 ⭐
A package for computing Graph Kernels
Malllabiisc Asap
43 ⭐
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ge Fsg
38 ⭐
Graph Embedding via Frequent Subgraphs
P Wl
31 ⭐
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Ggnn.tensorflow
29 ⭐
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
Dgcnn
30 ⭐
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Benedekrozemberczki Feather
18 ⭐
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Leviborodenko Dgcnn
19 ⭐
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Resolutions 2019
17 ⭐
A list of data mining and machine learning papers that I implemented in 2019.
Graph Embedding Techniques
16 ⭐
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Demo Net
12 ⭐
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification