6 results found Sort:

benedekrozemberczki
awesome-graph-classification benedekrozemberczki
742
4.8k
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
benedekrozemberczki
graph2vec benedekrozemberczki
169
904
gpl-3.0
20
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
gemsec kernel deepwalk diff2vec node2vec word2vec graph2vec struc2vec transformer graph-kernel subgraph2vec graph-wavelet node-embedding graph-embedding machine-learning weisfeiler-lehman matrix-factorization unsupervised-learning noise-contrastive-estimation implicit-matrix-factorization
Created 2018-07-10
87 commits to master branch, last one 2 years ago
chrsmrrs
k-gnn chrsmrrs
45
183
unknown
4
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
graphs pytorch end-to-end higher-order deep-learning weisfeier-leman graph-algorithms weisfeiler-lehman graph-neural-networks
Created 2018-11-05
105 commits to master branch, last one 2 years ago
benedekrozemberczki
role2vec benedekrozemberczki
32
166
gpl-3.0
12
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
gensim pytorch sklearn deepwalk node2vec research word2vec struc2vec tensorflow deep-learning graph-wavelet node-embedding graph-embedding network-science machine-learning network-embedding weisfeiler-lehman graph-neural-network implicit-factorization representation-learning
Created 2019-01-27
119 commits to master branch, last one 2 years ago
BorgwardtLab
P-WL BorgwardtLab
17
60
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 3 years ago
FilippoMB
The-expressive-power-of-pooling-in-GNNs FilippoMB
0
33
mit
1
Code and dataset to test empirically the expressive power of graph pooling operators.
graph-pooling expressiveness weisfeiler-lehman graph-neural-networks
Created 2023-04-01
16 commits to main branch, last one about a year ago