graph-classification

There are 19 repositories under graph-classification topic.

awesome-graph-classification
benedekrozemberczki / awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
graph2vec classification-algorithm graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-attention-networks structural-attention attention-mechanism graph-kernel node2vec graph-embedding network-embedding node-embedding graph-representation-learning deepwalk graph-convolutional-networks graph-classification
Language:Python 4706
THUDM / CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
graph-neural-networks pytorch graph-embedding node-classification graph-classification link-prediction leaderboard gnn-model
Language:Python 1693
awesome-fraud-detection-papers
benedekrozemberczki / awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
fraud-detection fraud-prevention fraud-checker fraud-management fraud-explorer classification data-science churn credit-scoring deep-learning random-forest gradient-boosting data-mining link-prediction graph-classification classifier logistic-regression credit-card-fraud credit-card-validation credit-card-fraud-detection
Language:Python 1556
CapsGNN
benedekrozemberczki / CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
capsgnn capsule-network capsule-neural-networks convolution pytorch research tensorflow machine-learning deep-learning gnn deepwalk node2vec graph-attention-networks graph-attention-model graph-classification sklearn struc2vec graph-convolution graph-neural-network
Language:Python 1233
SimGNN
benedekrozemberczki / SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
graph-edit-distance ged graph-similarity gcn graph-convolution tensor-network tensorflow pytorch neural-network deep-learning machine-learning graph-attention attention-mechanism graph-classification sklearn graph-embedding network-embedding wsdm simgnn gnn
Language:Python 714
daiquocnguyen / Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
graph-representation-learning graph-classification graph-neural-networks node-embeddings graph-embeddings graph-transformer self-attention transformer graph-machine-learning text-classification transformer-models graph-deep-learning
Language:Python 623
ysig / GraKeL
A scikit-learn compatible library for graph kernels
graph-kernels graph-classification scikit-learn graph-mining bioinformatics chemoinformatics graph-similarity graph-similarity-algorithms
Language:Python 573
APPNP
benedekrozemberczki / APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
gcn pytorch graph-convolutional-neural-networks graph-neural-network research machine-learning deep-learning deepwalk node2vec graph-attention attention pagerank graph-classification graph-embedding node-embedding iclr deep-neural-networks ppnp network-embedding appnp
Language:Python 357
bknyaz / graph_nn
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
graph graph-convolutional-networks gcn pytorch multigraph graph-classification graph-unet pooling
Language:Jupyter Notebook 321
gasteigerjo / ppnp
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
gcn tensorflow pytorch machine-learning deep-learning pagerank graph-algorithms gnn graph-classification graph-neural-networks
Language:Jupyter Notebook 315
cszhangzhen / HGP-SL
Hierarchical Graph Pooling with Structure Learning
graph graph-neural-networks graph-pooling graph-classification graph-level-representation gcn pytorch graph-algorithms
Language:Python 313
TrustAGI-Lab / graph_datasets
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
graph-classification graphs graph-database graph-dataset
281
GAM
benedekrozemberczki / GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
graph-convolution gcn graph-attention attention structural-attention deepwalk node2vec graph-classification graph2vec graphsage machine-learning transfer-learning reinforcement-learning reinforcement-agent deep-reinforcement-learning neural-networks pytorch sklearn
Language:Python 264
SEAL-CI
benedekrozemberczki / SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn graph-convolutional-networks active-learning active-learning-module deep-learning pytorch tensorflow graph-classification node-classification deep-learning-algorithms deepwalk node2vec graph-neural-network graph-representation-learning network-embedding graph-embedding graph-convolution machine-learning-algorithms gnn graph-neural-networks
Language:Python 206
BorgwardtLab / TOGL
Topological Graph Neural Networks (ICLR 2022)
persistent-homology graph-learning iclr2022 machine-learning graph-classification node-classification pytorch pytorch-geometric
Language:Python 101
BorgwardtLab / GraphKernels
A package for computing Graph Kernels
graph-classification graph-comparison graph-kernels kernels python-package
Language:C++ 97
JinheonBaek / GMT
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
graph-representation graph-representation-learning graph-pooling graph-multiset-pooling graph-multiset-transformer graph-classification graph-reconstruction graph-transformer graph-neural-networks pytorch graph
Language:Python 95
LiuChuang0059 / graph-pooling-papers
Papers on Graph Pooling (GNN-Pooling)
deep-learning graph-classification graph-neural-networks pooling
95
malllabiisc / ASAP
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
graph-classification graph-pooling graph-neural-networks pytorch graph-algorithms graph-level-representation gcn graph-convolution-network
Language:Python 95
giannisnik / cnn-graph-classification
A convolutional neural network for graph classification in PyTorch
graph-classification graph-kernels convolutional-neural-networks
Language:Python 89
leftthomas / DGCNN
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
gcn gnn graph graph-classification graph-convolutional-networks pytorch
Language:Python 59
BorgwardtLab / P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
weisfeiler-lehman topological-data-analysis graph-classification persistent-homology graph-kernels machine-learning
Language:Python 58
PDN
benedekrozemberczki / PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
gcn gnn deepwalk multiplex graph2vec pytorch graph-neural-network deep-learning pathfinder message-passing neural-message-passing cheminformatics molecules graph-classification node-classification network-science data-science transformer bert gpt-3
Language:Python 57
yangnianzu0515 / MoleOOD
Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).
graph-classification molecule-representation-learning out-of-distribution-generalization pytorch
Language:Python 51
harryjo97 / EHGNN
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
graph-representation graph-representation-learning graph-pooling graph-reconstruction graph-classification edge-pooling
Language:Python 47
daiquocnguyen / QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
graph-classification node-classification graph-representation-learning quaternion graph-neural-networks graph-embeddings node-embeddings text-classification hamilton-product quaternion-algebra
Language:Python 46
giannisnik / rwgnn
Random Walk Graph Neural Networks
graph-neural-networks graph-classification
Language:Python 45
safreita1 / malnet-graph
A large-scale database for graph representation learning
machine-learning graph-algorithms data-science data-mining deep-learning geometric-deep-learning graph-embedding embedded representation-learning artificial-intelligence neural-networks graph graph-classification
Language:Python 44
bdqnghi / ggnn.tensorflow
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
ggnn graph deep-learning programming-language program-classification graph-classification
Language:Java 43
FEATHER
benedekrozemberczki / FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
node-embedding graph-embedding network-embedding deep-learning node-classification graph-classification machine-learning data-mining networkx graph-convolution graph2vec deepwalk node2vec deep-neural-networks neural-network graph-kernel graph tensorflow pytorch representation-learning
Language:Python 43
nphdang / GE-FSG
Graph Embedding via Frequent Subgraphs
graph-embedding graph-representation-learning graph-classification frequent-subgraphs doc2vec deep-learning graph machine-learning word2vec
Language:Python 42
ZhenyuYangMQ / Awesome-Graph-Level-Learning
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…
deep-learning graph-datasets graph-neural-networks graph-pooling graph-level-learning graph-classification graph-clustering graph-regression edge-level-learning node-level-learning
35
phc-gnn
bayer-science-for-a-better-life / phc-gnn
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
graph-neural-networks graph-classification neural-message-passing deep-learning graph-representation-learning hypercomplex quaternion
Language:Python 30
junwu6 / DEMO-Net
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
graph-neural-networks weisfeiler-lehman feature-hashing node-classification graph-classification multi-task-learning
Language:Python 27
ashleve / graph_classification
Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels
graph-classification hydra image-classification ogbg open-graph-benchmark pytorch-lightning superpixels
Language:Jupyter Notebook 26
dgcnn
LeviBorodenko / dgcnn
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
deep-learning deep-neural-networks graphical-models graph-embedding graph-classification paper-implementations gnn attention-mechanism graph-signals dgcnn graph-convolutions
Language:Python 23

graph-classification

benedekrozemberczki / awesome-graph-classification

THUDM / CogDL

benedekrozemberczki / awesome-fraud-detection-papers

benedekrozemberczki / CapsGNN

benedekrozemberczki / SimGNN

daiquocnguyen / Graph-Transformer

ysig / GraKeL

benedekrozemberczki / APPNP

bknyaz / graph_nn

gasteigerjo / ppnp

cszhangzhen / HGP-SL

TrustAGI-Lab / graph_datasets

benedekrozemberczki / GAM

benedekrozemberczki / SEAL-CI

BorgwardtLab / TOGL

BorgwardtLab / GraphKernels

JinheonBaek / GMT

LiuChuang0059 / graph-pooling-papers

malllabiisc / ASAP

giannisnik / cnn-graph-classification

leftthomas / DGCNN

BorgwardtLab / P-WL

benedekrozemberczki / PDN

yangnianzu0515 / MoleOOD

harryjo97 / EHGNN

daiquocnguyen / QGNN

giannisnik / rwgnn

safreita1 / malnet-graph

bdqnghi / ggnn.tensorflow

benedekrozemberczki / FEATHER

nphdang / GE-FSG

ZhenyuYangMQ / Awesome-Graph-Level-Learning

bayer-science-for-a-better-life / phc-gnn

junwu6 / DEMO-Net

ashleve / graph_classification

LeviBorodenko / dgcnn