graph-classification

There are 21 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.
attention-mechanism classification-algorithm deep-graph-kernels deepwalk graph-attention-model graph-attention-networks graph-classification graph-convolutional-networks graph-embedding graph-kernel graph-kernels graph-representation-learning graph2vec kernel-methods netlsd network-embedding node-embedding node2vec structural-attention weisfeiler-lehman
Language:Python 4798
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 1807
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 1742
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 1274
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 805
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 677
ysig / GraKeL
A scikit-learn compatible library for graph kernels
bioinformatics chemoinformatics graph-classification graph-kernels graph-mining graph-similarity graph-similarity-algorithms scikit-learn
Language:Python 630
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 369
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 342
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 335
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 322
TrustAGI-Lab / graph_datasets
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
graph-classification graph-database graph-dataset graphs
294
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 273
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 212
Zehong-Wang / Awesome-Foundation-Models-on-Graphs
A collection of graph foundation models including papers, codes, and datasets.
data-augmentation deep-learning few-shot-learning foundation-models graph-classification graph-foundation-model graph-neural-networks graph-representation-learning knowlege-graph link-prediction machine-learning molecule node-classification node-embedding pre-training representation-learning self-supervised-learning transfer-learning unsupervised-learning zero-shot-learning
130
BorgwardtLab / TOGL
Topological Graph Neural Networks (ICLR 2022)
persistent-homology graph-learning iclr2022 machine-learning graph-classification node-classification pytorch pytorch-geometric
Language:Python 124
LiuChuang0059 / graph-pooling-papers
IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
deep-learning graph-classification graph-neural-networks pooling
116
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 107
BorgwardtLab / GraphKernels
A package for computing Graph Kernels
graph-kernels graph-classification kernels graph-comparison python-package
Language:C++ 104
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 101
giannisnik / cnn-graph-classification
A convolutional neural network for graph classification in PyTorch
graph-classification graph-kernels convolutional-neural-networks
Language:Python 91
leftthomas / DGCNN
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
pytorch gnn gcn graph graph-convolutional-networks graph-classification
Language:Python 65
BorgwardtLab / P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
graph-classification graph-kernels machine-learning persistent-homology topological-data-analysis weisfeiler-lehman
Language:Python 63
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 61
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
59
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 58
giannisnik / rwgnn
Random Walk Graph Neural Networks
graph-neural-networks graph-classification
Language:Python 54
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 53
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 51
Benchmark_dataset_for_graph_classification
FilippoMB / Benchmark_dataset_for_graph_classification
Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
dataset graph-classification graph-dataset graph-kernels graph-neural-networks
Language:Python 50
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 49
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 49
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 45
bdqnghi / ggnn.tensorflow
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
deep-learning ggnn graph graph-classification program-classification programming-language
Language:Java 42
FilippoMB / Simplifying-Clustering-with-Graph-Neural-Networks
Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".
graph-neural-networks spectral-clustering graph-clustering graph-classification graph-coarsening graph-pooling node-clustering
Language:Python 37
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 32

graph-classification

benedekrozemberczki / awesome-graph-classification

THUDM / CogDL

benedekrozemberczki / awesome-fraud-detection-papers

benedekrozemberczki / CapsGNN

benedekrozemberczki / SimGNN

daiquocnguyen / Graph-Transformer

ysig / GraKeL

benedekrozemberczki / APPNP

cszhangzhen / HGP-SL

bknyaz / graph_nn

gasteigerjo / ppnp

TrustAGI-Lab / graph_datasets

benedekrozemberczki / GAM

benedekrozemberczki / SEAL-CI

Zehong-Wang / Awesome-Foundation-Models-on-Graphs

BorgwardtLab / TOGL

LiuChuang0059 / graph-pooling-papers

JinheonBaek / GMT

BorgwardtLab / GraphKernels

malllabiisc / ASAP

giannisnik / cnn-graph-classification

leftthomas / DGCNN

BorgwardtLab / P-WL

yangnianzu0515 / MoleOOD

ZhenyuYangMQ / Awesome-Graph-Level-Learning

benedekrozemberczki / PDN

giannisnik / rwgnn

harryjo97 / EHGNN

safreita1 / malnet-graph

FilippoMB / Benchmark_dataset_for_graph_classification

benedekrozemberczki / FEATHER

daiquocnguyen / QGNN

nphdang / GE-FSG

bdqnghi / ggnn.tensorflow

FilippoMB / Simplifying-Clustering-with-Graph-Neural-Networks

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