graph-representation-learning

There are 25 repositories under graph-representation-learning 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 4703
naganandy / graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
graph-neural-networks graph-convolutional-networks graph deep-learning neural-networks graph-representation-learning conference-publications
Language:Jupyter Notebook 4608
graphdeeplearning / benchmarking-gnns
Repository for benchmarking graph neural networks
graph-representation-learning graph-neural-networks benchmark-framework graph-deep-learning pytorch dgl deep-learning
Language:Jupyter Notebook 2421
Accenture / AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
machine-learning knowledge-graph relational-learning representation-learning graph-representation-learning graph-embeddings knowledge-graph-embeddings
Language:Python 2086
dsgiitr / graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
graph-representation-learning graph-convolutional-networks graph-attention-networks graph-embedding deepwalk node-embedding graph-sage chebyshev-polynomials pytorch
Language:Jupyter Notebook 1095
snap-stanford / pretrain-gnns
Strategies for Pre-training Graph Neural Networks
graph-neural-networks graph-representation-learning
Language:Python 918
tsinghua-fib-lab / GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
gnn graph-neural-networks gcn graph-convolutional-networks recommendation-system recommendation recommendation-algorithms recommender-system graph-representation-learning information-retrieval
881
PyGCL / PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
contrastive-learning graph-representation-learning machine-learning graph-contrastive-learning
Language:Python 828
acbull / pyHGT
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
graph-neural-networks graph-representation-learning heterogeneous-network network-embedding transformer
Language:Python 740
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 619
rampasek / GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
graph-representation-learning long-range-dependence graph-neural-network graph-transformer
Language:Python 589
CompGCN
malllabiisc / CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
link-prediction relation-embeddings iclr2020 graph-convolutional-networks deep-learning pytorch graph-representation-learning
Language:Python 578
chaitjo / efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks
graph-neural-networks graph-representation-learning graph-convolutional-networks gnn efficient-deep-learning efficient-neural-networks scalable-deep-learning contrastive-learning knowledge-distillation
Language:Python 525
hwwang55 / GraphGAN
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
graph-representation-learning generative-adversarial-net
Language:Python 523
acbull / GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
graph-neural-networks graph-representation-learning pre-training self-supervised-learning
Language:Python 472
junxia97 / awesome-pretrain-on-molecules
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
gnns transfer-learning drug-discovery molecule self-supervised-learning survey awesome graph-representation-learning finetuning molecular-representation-learning computational-chemistry drug-discovery-and-development chemical-language-models
451
MixHop-and-N-GCN
benedekrozemberczki / MixHop-and-N-GCN
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
pytorch pytorch-cnn deep-learning machine-learning deepwalk node2vec gcn ngcn graph-convolution convolutional-neural-networks convolutional convolutional-layers tensorflow graph-representation-learning walklets walklet graph-attention-networks graph-attention multi-scale mixhop
Language:Python 397
SXKDZ / awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
self-supervised-learning graph-representation-learning machine-learning deep-learning contrastive-learning
361
AttentionWalk
benedekrozemberczki / AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
pytorch torch attention deepwalk node2vec word2vec matrix-factorization deep-learning structural-attention walklet graph-representation-learning sklearn tensorflow nips neurips graph-attention implicit-factorization graph-neural-networks neurips-2018 machine-learning
Language:Python 312
CRIPAC-DIG / GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
contrastive-learning deep-learning graph-representation-learning machine-learning
Language:Python 281
gnn-lspe
vijaydwivedi75 / gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
graph-neural-networks transformers graph-transformer positional-encoding graph-deep-learning transformer-networks attention graphs molecules gnn-lspe lspe graph-representation-learning geometric-deep-learning representation-learning gnn message-passing
Language:Python 221
BorgwardtLab / SAT
Official Pytorch code for Structure-Aware Transformer.
graph-neural-networks graph-representation-learning graph-transformer icml-2022
Language:Python 218
dmlc / GNNLens2
Visualization tool for Graph Neural Networks
graph-neural-networks explainability deep-learning dgl graph-representation-learning visualization graph-visualization pytorch xai
Language:TypeScript 209
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
Splitter
benedekrozemberczki / Splitter
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
deepwalk pytorch node2vec gensim ego-splitting machine-learning word2vec factorization implicit-factorization deep-learning deep-neural-network graph-neural-network node-embedding community-detection overlapping-community-detection clustering network-embedding graph-embedding word-vector graph-representation-learning
Language:Python 206
kkteru / grail
Inductive relation prediction by subgraph reasoning, ICML'20
graph-neural-networks knowledge-graphs logical-reasoning graph-representation-learning heterogeneous-graph heterogeneous-graph-neural-network inductive-learning
Language:Python 199
chaitjo / learning-tsp
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
deep-learning graph-neural-networks combinatorial-optimization tsp travelling-salesman-problem pytorch graph-representation-learning transformers
Language:Jupyter Notebook 188
mims-harvard / SubGNN
Subgraph Neural Networks (NeurIPS 2020)
dataset deep-learning embeddings graph-neural-networks graph-representation-learning subgraphs
Language:Python 180
CRIPAC-DIG / GCA
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
contrastive-learning deep-learning graph-contrastive-learning graph-representation-learning pytorch self-supervised-learning
Language:Python 148
zlpure / awesome-graph-representation-learning
A curated list for awesome graph representation learning resources.
deep-learning graph-representation-learning
147
HannesStark / 3DInfomax
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
graph-representation-learning self-supervised-learning graph molecules 3d pytorch-geometric dgl-graph gnn graph-neural-networks
Language:Python 142
lrgb
vijaydwivedi75 / lrgb
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
graph-benchmark long-range-dependence graph-neural-networks graph-transformer long-range graph-datasets graph-representation-learning
Language:Jupyter Notebook 138
tencent-alchemy / Alchemy
quantum-chemistry graph-neural-networks machine-learning deep-learning graph-representation-learning mpnn-model
Language:Python 113
VGraphRNN / VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
variational-autoencoder graph-auto-encoder representation-learning variational-inference graph-convolutional-networks graph-embedding node-embedding graph-neural-networks graph-neural-network variational-autoencoders graph-representation-learning dynamic-graphs link-prediction
Language:Python 107
EvalNE
Dru-Mara / EvalNE
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
link-prediction evaluation graph-embedding graphs networks network-embedding data-mining python library research-tool benchmark benchmark-framework representation-learning graph-representation-learning graph-algorithms graph-api network-reconstruction node-classification multilabel-classification sign-prediction
Language:Python 103
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 94