26 results found Sort:

benedekrozemberczki
awesome-graph-classification benedekrozemberczki
744
4.7k
cc0-1.0
217
A collection of important graph embedding, classification and representation learning papers with implementations.
netlsd deepwalk node2vec graph2vec graph-kernel graph-kernels kernel-methods node-embedding graph-embedding network-embedding weisfeiler-lehman deep-graph-kernels attention-mechanism graph-classification structural-attention graph-attention-model classification-algorithm graph-attention-networks graph-convolutional-networks graph-representation-learning
Created 2018-07-14
422 commits to master branch, last one about a year ago
THUDM
CogDL THUDM
314
1.7k
mit
42
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
pytorch gnn-model leaderboard graph-embedding link-prediction node-classification graph-classification graph-neural-networks
Created 2019-03-18
486 commits to master branch, last one 6 months ago
benedekrozemberczki
awesome-fraud-detection-papers benedekrozemberczki
297
1.6k
cc0-1.0
75
A curated list of data mining papers about fraud detection.
churn classifier data-mining data-science deep-learning fraud-checker random-forest classification credit-scoring fraud-explorer fraud-detection link-prediction fraud-management fraud-prevention credit-card-fraud gradient-boosting logistic-regression graph-classification credit-card-validation credit-card-fraud-detection
Created 2019-05-27
175 commits to master branch, last one 2 months ago
benedekrozemberczki
CapsGNN benedekrozemberczki
199
1.2k
gpl-3.0
29
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
gnn capsgnn pytorch sklearn deepwalk node2vec research struc2vec tensorflow convolution deep-learning capsule-network machine-learning graph-convolution graph-classification graph-neural-network graph-attention-model capsule-neural-networks graph-attention-networks
Created 2019-01-29
180 commits to master branch, last one about a year ago
benedekrozemberczki
SimGNN benedekrozemberczki
146
718
gpl-3.0
11
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
gcn ged gnn wsdm simgnn pytorch sklearn tensorflow deep-learning neural-network tensor-network graph-attention graph-embedding graph-similarity machine-learning graph-convolution network-embedding attention-mechanism graph-edit-distance graph-classification
Created 2019-01-31
172 commits to master branch, last one about a year ago
daiquocnguyen
Graph-Transformer daiquocnguyen
77
626
apache-2.0
9
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
transformer self-attention node-embeddings graph-embeddings graph-transformer transformer-models graph-deep-learning text-classification graph-classification graph-neural-networks graph-machine-learning graph-representation-learning
Created 2019-08-03
181 commits to master branch, last one about a year ago
ysig
GraKeL ysig
98
577
other
10
A scikit-learn compatible library for graph kernels
graph-mining scikit-learn graph-kernels bioinformatics chemoinformatics graph-similarity graph-classification graph-similarity-algorithms
Created 2017-10-31
943 commits to master branch, last one 3 months ago
benedekrozemberczki
APPNP benedekrozemberczki
49
357
gpl-3.0
9
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
gcn iclr ppnp appnp pytorch deepwalk node2vec pagerank research attention deep-learning node-embedding graph-attention graph-embedding machine-learning network-embedding deep-neural-networks graph-classification graph-neural-network graph-convolutional-neural-networks
Created 2019-02-12
155 commits to master branch, last one about a year ago
gasteigerjo
ppnp gasteigerjo
55
315
mit
10
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
gcn gnn pytorch pagerank tensorflow deep-learning graph-algorithms machine-learning graph-classification graph-neural-networks
Created 2019-02-20
48 commits to master branch, last one 9 months ago
cszhangzhen
HGP-SL cszhangzhen
52
314
unknown
3
Hierarchical Graph Pooling with Structure Learning
gcn graph pytorch graph-pooling graph-algorithms graph-classification graph-neural-networks graph-level-representation
Created 2019-11-12
23 commits to master branch, last one 2 years ago
benedekrozemberczki
GAM benedekrozemberczki
57
265
gpl-3.0
12
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
gcn pytorch sklearn deepwalk node2vec attention graph2vec graphsage graph-attention neural-networks machine-learning graph-convolution transfer-learning reinforcement-agent graph-classification structural-attention reinforcement-learning deep-reinforcement-learning
Created 2018-12-28
95 commits to master branch, last one about a year ago
benedekrozemberczki
SEAL-CI benedekrozemberczki
49
206
gpl-3.0
10
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn gnn pytorch deepwalk node2vec tensorflow deep-learning active-learning graph-embedding graph-convolution network-embedding node-classification graph-classification graph-neural-network graph-neural-networks active-learning-module deep-learning-algorithms machine-learning-algorithms graph-convolutional-networks graph-representation-learning
Created 2019-04-23
126 commits to master branch, last one about a year ago
BorgwardtLab
TOGL BorgwardtLab
20
102
bsd-3-clause
8
Topological Graph Neural Networks (ICLR 2022)
pytorch iclr2022 graph-learning machine-learning pytorch-geometric node-classification persistent-homology graph-classification
Created 2021-01-11
286 commits to main branch, last one about a year ago
LiuChuang0059
graph-pooling-papers LiuChuang0059
7
97
unknown
3
Papers on Graph Pooling (GNN-Pooling)
pooling deep-learning graph-classification graph-neural-networks
Created 2021-10-14
48 commits to main branch, last one about a year ago
BorgwardtLab
GraphKernels BorgwardtLab
55
97
mit
10
A package for computing Graph Kernels
kernels graph-kernels python-package graph-comparison graph-classification
Created 2015-11-25
138 commits to master branch, last one about a year ago
JinheonBaek
GMT JinheonBaek
20
95
unknown
2
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
graph pytorch graph-pooling graph-transformer graph-classification graph-reconstruction graph-representation graph-neural-networks graph-multiset-pooling graph-multiset-transformer graph-representation-learning
Created 2021-02-16
38 commits to main branch, last one 2 years ago
leftthomas
DGCNN leftthomas
15
59
unknown
2
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
gcn gnn graph pytorch graph-classification graph-convolutional-networks
Created 2018-01-18
200 commits to master branch, last one 9 months ago
BorgwardtLab
P-WL BorgwardtLab
15
58
mit
6
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
graph-kernels machine-learning weisfeiler-lehman persistent-homology graph-classification topological-data-analysis
Created 2018-10-23
401 commits to master branch, last one 2 years ago
benedekrozemberczki
PDN benedekrozemberczki
11
57
gpl-3.0
2
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
gcn gnn bert gpt-3 pytorch deepwalk graph2vec molecules multiplex pathfinder transformer data-science deep-learning cheminformatics message-passing network-science node-classification graph-classification graph-neural-network neural-message-passing
Created 2021-02-05
77 commits to main branch, last one about a year ago
yangnianzu0515
MoleOOD yangnianzu0515
6
53
mit
2
Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).
pytorch graph-classification molecule-representation-learning out-of-distribution-generalization
Created 2022-11-01
10 commits to master branch, last one about a year ago
harryjo97
EHGNN harryjo97
7
48
unknown
2
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
edge-pooling graph-pooling graph-classification graph-reconstruction graph-representation graph-representation-learning
Created 2021-05-31
17 commits to main branch, last one about a year ago
daiquocnguyen
QGNN daiquocnguyen
9
46
mit
3
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
quaternion node-embeddings graph-embeddings hamilton-product quaternion-algebra node-classification text-classification graph-classification graph-neural-networks graph-representation-learning
Created 2020-03-12
62 commits to master branch, last one 2 years ago
giannisnik
rwgnn giannisnik
8
45
unknown
3
Random Walk Graph Neural Networks
graph-classification graph-neural-networks
Created 2020-10-10
10 commits to main branch, last one 3 years ago
safreita1
malnet-graph safreita1
13
44
unknown
2
A large-scale database for graph representation learning
graph embedded data-mining data-science deep-learning graph-embedding neural-networks graph-algorithms machine-learning graph-classification artificial-intelligence geometric-deep-learning representation-learning
Created 2020-11-25
8 commits to master branch, last one about a year ago
benedekrozemberczki
FEATHER benedekrozemberczki
11
43
mit
3
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
graph pytorch deepwalk networkx node2vec graph2vec tensorflow data-mining graph-kernel deep-learning neural-network node-embedding graph-embedding machine-learning graph-convolution network-embedding node-classification deep-neural-networks graph-classification representation-learning
Created 2020-02-17
139 commits to master branch, last one about a year ago
ZhenyuYangMQ
Awesome-Graph-Level-Learning ZhenyuYangMQ
6
36
mit
2
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 repr...
deep-learning graph-pooling graph-datasets graph-clustering graph-regression edge-level-learning node-level-learning graph-classification graph-level-learning graph-neural-networks
Created 2023-01-12
38 commits to main branch, last one about a year ago