Here are
66 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Mar 2, 2022
Python
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Updated
Mar 2, 2022
Python
CogDL: An Extensive Toolkit for Deep Learning on Graphs (Graph Neural Networks, GNN)
Updated
Jun 1, 2022
Python
A curated list of data mining papers about fraud detection.
Updated
Mar 2, 2022
Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
Mar 2, 2022
Python
A scikit-learn compatible library for graph kernels
Updated
Feb 9, 2022
Python
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Updated
Mar 10, 2022
Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
Mar 2, 2022
Python
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Updated
Oct 16, 2020
Jupyter Notebook
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Updated
Apr 5, 2022
Jupyter Notebook
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
Mar 2, 2022
Python
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
Hierarchical Graph Pooling with Structure Learning
Updated
Jul 12, 2021
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
Mar 2, 2022
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
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Jun 21, 2020
Python
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Updated
Jun 9, 2021
Python
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
Updated
Dec 10, 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
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Updated
Mar 2, 2022
Python
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
Updated
Jan 12, 2021
Java
Graph Embedding via Frequent Subgraphs
Updated
May 5, 2020
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
Mar 2, 2022
Python
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Updated
Dec 25, 2021
Python
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
Updated
Sep 3, 2021
Python
Random Walk Graph Neural Networks
Updated
Feb 21, 2021
Python
A large-scale database for graph representation learning
Updated
Nov 27, 2021
Python
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
Updated
Nov 25, 2021
Python
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