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Search results for python graph classification
graph-classification
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35 search results found
Awesome Fraud Detection Papers
⭐
1,364
A curated list of data mining papers about fraud detection.
Capsgnn
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1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Simgnn
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540
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Grakel
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540
A scikit-learn compatible library for graph kernels
Graph Transformer
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408
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Appnp
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322
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Gam
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257
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Seal Ci
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201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Hgp Sl
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194
Hierarchical Graph Pooling with Structure Learning
Graphkernels
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91
A package for computing Graph Kernels
Cnn Graph Classification
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79
A convolutional neural network for graph classification in PyTorch
Dgcnn
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57
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Pdn
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51
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
P Wl
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44
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Feather
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39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Gmt
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36
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
Ge Fsg
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35
Graph Embedding via Frequent Subgraphs
Ehgnn
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34
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
Asap
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34
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Benchmark_dataset_for_graph_classification
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33
This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
Moleood
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29
Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).
Qgnn
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28
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Malnet Graph
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27
A large-scale database for graph representation learning
Phc Gnn
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19
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
Demo Net
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18
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Filtration_curves
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17
Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
Metric Few Shot Graph
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13
Few-Shot Graph Classification via distance metric learning.
Orbitalfeatures
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13
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
Dgcnn
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13
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Mvpool
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7
Hierarchical Multi-View Graph Pooling with Structure Learning(TKDE-2021)
Pi Gnn
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7
Permute Me Softly: Learning Soft Permutations for Graph Representations
Nestedsubtreehash
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7
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
Cpa
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7
Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
Message_passing_graph_kernels
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6
Hada
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5
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Graph Classification G2i
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5
Functional Brain Network Classification Method
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