62 results found Sort:

naganandy
graph-based-deep-learning-literature naganandy
780
4.8k
mit
252
links to conference publications in graph-based deep learning
graph deep-learning neural-networks graph-neural-networks conference-publications graph-convolutional-networks graph-representation-learning
Created 2017-12-01
7,741 commits to master branch, last one 10 days ago
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
graphdeeplearning
benchmarking-gnns graphdeeplearning
455
2.5k
mit
60
Repository for benchmarking graph neural networks
dgl pytorch deep-learning benchmark-framework graph-deep-learning graph-neural-networks graph-representation-learning
Created 2020-03-03
45 commits to master branch, last one 2 years ago
Accenture
AmpliGraph Accenture
250
2.2k
apache-2.0
67
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
knowledge-graph graph-embeddings machine-learning relational-learning representation-learning knowledge-graph-embeddings graph-representation-learning
Created 2019-01-09
1,631 commits to develop branch, last one 9 months ago
dsgiitr
graph_nets dsgiitr
225
1.1k
unknown
39
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
pytorch deepwalk graph-sage node-embedding graph-embedding chebyshev-polynomials graph-attention-networks graph-convolutional-networks graph-representation-learning
Created 2019-08-07
98 commits to master branch, last one 3 years ago
tsinghua-fib-lab
GNN-Recommender-Systems tsinghua-fib-lab
138
986
unknown
18
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
gcn gnn recommendation recommender-system graph-neural-networks information-retrieval recommendation-system recommendation-algorithms graph-convolutional-networks graph-representation-learning
Created 2021-09-23
21 commits to main branch, last one about a year ago
snap-stanford
pretrain-gnns snap-stanford
163
972
mit
18
Strategies for Pre-training Graph Neural Networks
graph-neural-networks graph-representation-learning
Created 2020-01-30
13 commits to master branch, last one about a year ago
PyGCL
PyGCL PyGCL
96
899
apache-2.0
8
PyGCL: A PyTorch Library for Graph Contrastive Learning
machine-learning contrastive-learning graph-contrastive-learning graph-representation-learning
Created 2021-06-07
259 commits to main branch, last one 11 months ago
acbull
pyHGT acbull
163
801
mit
14
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
transformer network-embedding graph-neural-networks heterogeneous-network graph-representation-learning
Created 2020-02-21
192 commits to master branch, last one about a year ago
rampasek
GraphGPS rampasek
121
677
mit
13
Recipe for a General, Powerful, Scalable Graph Transformer
graph-transformer graph-neural-network long-range-dependence graph-representation-learning
Created 2022-05-24
24 commits to main branch, last one about a year ago
daiquocnguyen
Graph-Transformer daiquocnguyen
79
654
apache-2.0
10
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 2 years ago
malllabiisc
CompGCN malllabiisc
107
598
apache-2.0
18
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
pytorch iclr2020 deep-learning link-prediction relation-embeddings graph-convolutional-networks graph-representation-learning
Created 2020-01-04
18 commits to master branch, last one 4 years ago
chaitjo
efficient-gnns chaitjo
64
528
unknown
20
Code and resources on scalable and efficient Graph Neural Networks
gnn contrastive-learning graph-neural-networks knowledge-distillation scalable-deep-learning efficient-deep-learning efficient-neural-networks graph-convolutional-networks graph-representation-learning
Created 2021-07-28
28 commits to main branch, last one about a year ago
junxia97
awesome-pretrain-on-molecules junxia97
52
498
unknown
19
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
gnns survey awesome molecule finetuning drug-discovery transfer-learning computational-chemistry chemical-language-models self-supervised-learning graph-representation-learning drug-discovery-and-development molecular-representation-learning
Created 2021-12-10
94 commits to main branch, last one about a year ago
acbull
GPT-GNN acbull
87
488
mit
13
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
pre-training graph-neural-networks self-supervised-learning graph-representation-learning
Created 2020-06-26
99 commits to master branch, last one 4 months ago
benedekrozemberczki
MixHop-and-N-GCN benedekrozemberczki
55
402
gpl-3.0
15
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
gcn ngcn mixhop pytorch walklet deepwalk node2vec walklets tensorflow multi-scale pytorch-cnn convolutional deep-learning graph-attention machine-learning graph-convolution convolutional-layers graph-attention-networks convolutional-neural-networks graph-representation-learning
Created 2019-02-23
141 commits to master branch, last one 2 years ago
SXKDZ
awesome-self-supervised-learning-for-graphs SXKDZ
45
376
unknown
13
A curated list for awesome self-supervised learning for graphs.
deep-learning machine-learning contrastive-learning self-supervised-learning graph-representation-learning
Created 2020-09-09
44 commits to master branch, last one 3 years ago
benedekrozemberczki
AttentionWalk benedekrozemberczki
48
321
gpl-3.0
10
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
nips torch neurips pytorch sklearn walklet deepwalk node2vec word2vec attention tensorflow neurips-2018 deep-learning graph-attention machine-learning matrix-factorization structural-attention graph-neural-networks implicit-factorization graph-representation-learning
Created 2019-01-11
84 commits to master branch, last one 2 years ago
CRIPAC-DIG
GRACE CRIPAC-DIG
54
314
apache-2.0
7
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
deep-learning machine-learning contrastive-learning graph-representation-learning
Created 2020-06-07
13 commits to master branch, last one 7 months ago
HKUDS
Awesome-LLM4Graph-Papers HKUDS
11
251
unknown
8
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
fundation-models graph-algorithms graph-neural-networks large-language-models graph-fundation-models graph-representation-learning
Created 2024-05-11
15 commits to main branch, last one 3 months ago
BorgwardtLab
SAT BorgwardtLab
37
249
bsd-3-clause
6
Official Pytorch code for Structure-Aware Transformer.
icml-2022 graph-transformer graph-neural-networks graph-representation-learning
Created 2022-05-30
17 commits to main branch, last one about a year ago
vijaydwivedi75
gnn-lspe vijaydwivedi75
35
246
mit
4
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
gnn lspe graphs gnn-lspe attention molecules transformers message-passing graph-transformer graph-deep-learning positional-encoding transformer-networks graph-neural-networks geometric-deep-learning representation-learning graph-representation-learning
Created 2021-09-13
6 commits to main branch, last one 2 years ago
dmlc
GNNLens2 dmlc
27
240
apache-2.0
11
Visualization tool for Graph Neural Networks
dgl xai pytorch deep-learning visualization explainability graph-visualization graph-neural-networks graph-representation-learning
Created 2021-08-30
36 commits to main branch, last one 2 years ago
kkteru
grail kkteru
57
228
unknown
4
Inductive relation prediction by subgraph reasoning, ICML'20
knowledge-graphs logical-reasoning inductive-learning heterogeneous-graph graph-neural-networks graph-representation-learning heterogeneous-graph-neural-network
Created 2020-06-16
3 commits to master branch, last one 4 years ago
benedekrozemberczki
Splitter benedekrozemberczki
44
213
gpl-3.0
11
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
gensim pytorch deepwalk node2vec word2vec clustering word-vector deep-learning ego-splitting factorization node-embedding graph-embedding machine-learning network-embedding community-detection deep-neural-network graph-neural-network implicit-factorization graph-representation-learning overlapping-community-detection
Created 2019-03-17
126 commits to master branch, last one about a year ago
chaitjo
learning-tsp chaitjo
44
211
mit
4
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
tsp pytorch transformers deep-learning graph-neural-networks combinatorial-optimization travelling-salesman-problem graph-representation-learning
This repository has been archived (exclude archived)
Created 2020-06-12
12 commits to master branch, last one 3 years ago
benedekrozemberczki
SEAL-CI benedekrozemberczki
43
208
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 2 years ago
mims-harvard
SubGNN mims-harvard
35
190
mit
9
Subgraph Neural Networks (NeurIPS 2020)
dataset subgraphs embeddings deep-learning graph-neural-networks graph-representation-learning
Created 2020-10-20
68 commits to main branch, last one 3 years ago
CRIPAC-DIG
GCA CRIPAC-DIG
26
163
mit
3
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
pytorch deep-learning contrastive-learning self-supervised-learning graph-contrastive-learning graph-representation-learning
Created 2021-04-09
5 commits to main branch, last one 7 months ago
HannesStark
3DInfomax HannesStark
31
155
unknown
3
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
3d gnn graph dgl-graph molecules pytorch-geometric graph-neural-networks self-supervised-learning graph-representation-learning
Created 2021-05-17
900 commits to master branch, last one 2 years ago