Topic: graph-representation-learning Goto Github

👇 Here are 131 public repositories matching this topic...

acbull / gpt-gnn
graph-representation-learning,Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
User: acbull
graph-neural-networks graph-representation-learning pre-training self-supervised-learning

acbull / pyhgt
graph-representation-learning,Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
User: acbull
graph-neural-networks heterogeneous-network transformer network-embedding graph-representation-learning

accenture / ampligraph
graph-representation-learning,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Organization: accenture
machine-learning knowledge-graph relational-learning representation-learning graph-representation-learning graph-embeddings knowledge-graph-embeddings

benedekrozemberczki / attentionwalk
graph-representation-learning,A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
User: benedekrozemberczki
pytorch torch attention deepwalk node2vec word2vec matrix-factorization deep-learning structural-attention walklet

benedekrozemberczki / awesome-graph-classification
graph-representation-learning,A collection of important graph embedding, classification and representation learning papers with implementations.
User: benedekrozemberczki
graph2vec classification-algorithm graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-attention-networks structural-attention

benedekrozemberczki / mixhop-and-n-gcn
graph-representation-learning,An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
User: benedekrozemberczki
pytorch pytorch-cnn deep-learning machine-learning deepwalk node2vec gcn ngcn graph-convolution convolutional-neural-networks

benedekrozemberczki / seal-ci
graph-representation-learning,A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
User: benedekrozemberczki
gcn graph-convolutional-networks active-learning active-learning-module deep-learning pytorch tensorflow graph-classification node-classification deep-learning-algorithms

benedekrozemberczki / splitter
graph-representation-learning,A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
User: benedekrozemberczki
deepwalk pytorch node2vec gensim ego-splitting machine-learning word2vec factorization implicit-factorization deep-learning

berlincho / rgcn-pytorch
graph-representation-learning,Pytorch implementation of Relational GCN for node classification
User: berlincho
gcn gnn rgcn pytorch-implementation aifb node-classification mutag bgs pytorch graph-convolutional-networks

borgwardtlab / sat
graph-representation-learning,Official Pytorch code for Structure-Aware Transformer.
Organization: borgwardtlab
graph-neural-networks graph-representation-learning graph-transformer icml-2022

chaitjo / efficient-gnns
graph-representation-learning,Code and resources on scalable and efficient Graph Neural Networks
User: chaitjo
Home Page: https://www.chaitjo.com/post/efficient-gnns/
graph-neural-networks graph-representation-learning graph-convolutional-networks gnn efficient-deep-learning efficient-neural-networks scalable-deep-learning contrastive-learning knowledge-distillation

chaitjo / gated-graph-transformers
graph-representation-learning,Transformers are Graph Neural Networks!
User: chaitjo
Home Page: https://thegradient.pub/transformers-are-graph-neural-networks/
transformers graph-neural-networks graph-representation-learning deep-learning pytorch

chaitjo / learning-tsp
graph-representation-learning,Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
User: chaitjo
Home Page: https://arxiv.org/abs/2006.07054
deep-learning graph-neural-networks combinatorial-optimization tsp travelling-salesman-problem pytorch graph-representation-learning transformers

cripac-dig / gca
graph-representation-learning,[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
Organization: cripac-dig
contrastive-learning deep-learning graph-contrastive-learning graph-representation-learning pytorch self-supervised-learning

cripac-dig / grace
graph-representation-learning,[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
Organization: cripac-dig
contrastive-learning graph-representation-learning deep-learning machine-learning

daiquocnguyen / gnn-noge
graph-representation-learning,Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)
User: daiquocnguyen
knowledge-graph-embeddings knowledge-graph-completion link-prediction graph-neural-networks knowledge-base-completion hamilton-product graph-representation-learning quaternion-algebra

daiquocnguyen / gnn-regvd
graph-representation-learning,Revisiting Graph Neural Networks for Vulnerability Detection (ICSE 2022) (Pytorch)
User: daiquocnguyen
vulnerability-detection graph-neural-networks graph-representation-learning vulnerability-identification cyber-security software-vulnerability

daiquocnguyen / graph-transformer
graph-representation-learning,Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
User: daiquocnguyen
graph-representation-learning graph-classification graph-neural-networks node-embeddings graph-embeddings graph-transformer self-attention transformer graph-machine-learning text-classification

dmlc / gnnlens2
graph-representation-learning,Visualization tool for Graph Neural Networks
Organization: dmlc
deep-learning dgl explainability graph-neural-networks graph-representation-learning graph-visualization pytorch visualization xai

dru-mara / evalne
graph-representation-learning,Source code for EvalNE, a Python library for evaluating Network Embedding methods.
User: dru-mara
Home Page: https://evalne.readthedocs.io/en/latest/
link-prediction evaluation graph-embedding graphs networks network-embedding data-mining python library research-tool

dsgiitr / graph_nets
graph-representation-learning,PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Organization: dsgiitr
graph-representation-learning graph-convolutional-networks graph-attention-networks graph-embedding deepwalk node-embedding graph-sage chebyshev-polynomials pytorch

ellisalicante / graphrewiring-tutorial
graph-representation-learning,This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications in Fairness"
Organization: ellisalicante
Home Page: https://ellisalicante.org/tutorials/GraphRewiring
graph-neural-networks graph-representation-learning graph-rewiring learning-on-graphs tutorial over-squashing oversquashing

gbouritsas / gsn
graph-representation-learning,Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252
User: gbouritsas
graph-neural-networks pytorch graph-representation-learning subgraph-isomorphism neural-network-expressivity

graphdeeplearning / benchmarking-gnns
graph-representation-learning,Repository for benchmarking graph neural networks
Organization: graphdeeplearning
Home Page: https://arxiv.org/abs/2003.00982
graph-representation-learning graph-neural-networks benchmark-framework graph-deep-learning pytorch dgl deep-learning

hannesstark / 3dinfomax
graph-representation-learning,Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
User: hannesstark
graph-representation-learning self-supervised-learning graph molecules 3d pytorch-geometric dgl-graph gnn graph-neural-networks

harryjo97 / ehgnn
graph-representation-learning,Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
User: harryjo97
Home Page: https://arxiv.org/abs/2106.15845
graph-representation graph-representation-learning graph-pooling graph-reconstruction graph-classification edge-pooling

hwwang55 / graphgan
graph-representation-learning,A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
User: hwwang55
generative-adversarial-net graph-representation-learning

jhljx / ctgcn
graph-representation-learning,CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
User: jhljx
dynamic-graphs graph-convolutional-network graph-representation-learning network-embedding graph-neural-networks graph-embedding dynamic-graph-algorithm dynamic-graph-processing graph-embedding-approaches link-prediction

jinheonbaek / gmt
graph-representation-learning,Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
User: jinheonbaek
Home Page: https://arxiv.org/abs/2102.11533
graph-representation graph-representation-learning graph-pooling graph-multiset-pooling graph-multiset-transformer graph-classification graph-reconstruction graph-transformer graph-neural-networks pytorch

junxia97 / awesome-pretrain-on-molecules
graph-representation-learning,[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
User: junxia97
gnns transfer-learning drug-discovery molecule self-supervised-learning survey awesome graph-representation-learning finetuning molecular-representation-learning

kaiyuanzh / awesome-graph-representation-learning
graph-representation-learning,A curated list of awesome graph representation learning.
User: kaiyuanzh
graph graph-neural-networks graph-embedding graph-convolutional-networks graph-mining graph-representation-learning adversarial-learning awesome-list

kimmeen / neural-temporal-walks
graph-representation-learning,[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
User: kimmeen
dynamic-graph-embedding dynamic-graphs graph-neural-networks graph-representation-learning

kkteru / grail
graph-representation-learning,Inductive relation prediction by subgraph reasoning, ICML'20
User: kkteru
graph-neural-networks knowledge-graphs logical-reasoning graph-representation-learning heterogeneous-graph heterogeneous-graph-neural-network inductive-learning

lfhase / ciga
graph-representation-learning,[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
User: lfhase
Home Page: https://arxiv.org/abs/2202.05441
distribution-shift graph-neural-networks out-of-distribution-generalization causal-representation-learning invariant-learning causal-inference drug-discovery graph-representation-learning

malllabiisc / compgcn
graph-representation-learning,ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Organization: malllabiisc
link-prediction relation-embeddings iclr2020 graph-convolutional-networks deep-learning pytorch graph-representation-learning

mgithubl / chinese-reading-notes-of-graph-learning
graph-representation-learning,
User: mgithubl
graph-learning graph-neural-networks network-embedding graph graph-embedding graph-mining graph-representation-learning network-representation-learning

mims-harvard / subgnn
graph-representation-learning,Subgraph Neural Networks (NeurIPS 2020)
Organization: mims-harvard
Home Page: https://zitniklab.hms.harvard.edu/projects/SubGNN
graph-neural-networks subgraphs graph-representation-learning embeddings deep-learning dataset

naganandy / graph-based-deep-learning-literature
graph-representation-learning,links to conference publications in graph-based deep learning
User: naganandy
graph-neural-networks graph-convolutional-networks graph deep-learning neural-networks graph-representation-learning conference-publications

pygcl / pygcl
graph-representation-learning,PyGCL: A PyTorch Library for Graph Contrastive Learning
Organization: pygcl
Home Page: https://PyGCL.readthedocs.io
contrastive-learning graph-representation-learning machine-learning graph-contrastive-learning

rampasek / graphgps
graph-representation-learning,Recipe for a General, Powerful, Scalable Graph Transformer
User: rampasek
graph-representation-learning long-range-dependence graph-neural-network graph-transformer

sitaoluan / acm-gnn
graph-representation-learning,NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
User: sitaoluan
filterbank graph graph-convolutional-networks graph-neural-networks graph-representation-learning heterophily homophily pytorch geometric-deep-learning

snap-stanford / pretrain-gnns
graph-representation-learning,Strategies for Pre-training Graph Neural Networks
Organization: snap-stanford
graph-neural-networks graph-representation-learning

sxkdz / awesome-self-supervised-learning-for-graphs
graph-representation-learning,A curated list for awesome self-supervised learning for graphs.
User: sxkdz
contrastive-learning deep-learning graph-representation-learning machine-learning self-supervised-learning

tencent-alchemy / alchemy
graph-representation-learning,
Organization: tencent-alchemy
Home Page: https://alchemy.tencent.com/
quantum-chemistry graph-neural-networks machine-learning deep-learning graph-representation-learning mpnn-model

tsinghua-fib-lab / gnn-recommender-systems
graph-representation-learning,An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Organization: tsinghua-fib-lab
gnn graph-neural-networks gcn graph-convolutional-networks recommendation-system recommendation recommendation-algorithms recommender-system graph-representation-learning information-retrieval

vgraphrnn / vgrnn
graph-representation-learning,Variational Graph Recurrent Neural Networks - PyTorch
User: vgraphrnn
variational-autoencoder graph-auto-encoder representation-learning variational-inference graph-convolutional-networks graph-embedding node-embedding graph-neural-networks graph-neural-network variational-autoencoders

vijaydwivedi75 / gnn-lspe
graph-representation-learning,Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
User: vijaydwivedi75
Home Page: http://arxiv.org/abs/2110.07875
graph-neural-networks transformers graph-transformer positional-encoding graph-deep-learning transformer-networks attention graphs molecules gnn-lspe

vijaydwivedi75 / lrgb
graph-representation-learning,Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
User: vijaydwivedi75
graph-benchmark long-range-dependence graph-neural-networks graph-transformer long-range graph-datasets graph-representation-learning

xtra-computing / awesome-literature-ilogs
graph-representation-learning,Awesome literature on imbalanced learning on graphs
Organization: xtra-computing
awesome graph-representation-learning imbalanced-learning graph-neural-networks imbalanced-learning-on-graphs

zlpure / awesome-graph-representation-learning
graph-representation-learning,A curated list for awesome graph representation learning resources.
User: zlpure
deep-learning graph-representation-learning