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Search results for graph neural networks network embedding
graph-neural-networks
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network-embedding
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25 search results found
Euler
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2,846
A distributed graph deep learning framework.
Pytorch_geometric_temporal
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2,386
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Pyhgt
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698
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Awesome Deep Graph Clustering
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626
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Datasets
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521
A repository of pretty cool datasets that I collected for network science and machine learning research.
Awesome Deep Community Detection
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397
Deep and conventional community detection related papers, implementations, datasets, and tools.
Appnp
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322
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Han
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307
Heterogeneous Graph Neural Network
Sgcn
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253
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Splitter
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203
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Seal Ci
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201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Awesome Hyperbolic Learning
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186
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Representation Learning On Heterogeneous Graph
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178
Representation-Learning-on-Heterogeneous-Graph
Role2vec
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157
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Bigscity Libcity Paperlist
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132
Paper list in traffic prediction field
Braingb
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131
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
Dcrn
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126
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Musae
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122
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
Sgl
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106
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
Ctgcn
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72
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Tene
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71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Ladies
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70
Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
Magnn
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66
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Mixgcf
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65
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
Graphml Tutorials
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63
Tutorials for Machine Learning on Graphs
Pytorch_han
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55
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
Chinese Reading Notes Of Graph Learning
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52
Hgt Dgl
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47
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
Hsan
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35
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
Shift Robust Gnns
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24
"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
Disenkgat
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23
This is a PyTorch implementation for the CIKM-2021 paper (DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network).
Awesome Temporal Graph Learning
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21
Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
Awesome Higherordergraph
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17
Collection of papers relating data-driven higher-order graph/networks researches.
Caps2ne
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15
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Sdg
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13
SDG: A Simplified and Dynamic Graph Neural Network, SIGIR' 2021
Extended Simgnn
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11
A PyTorch Geometric implementation of SimGNN with some extensions.
Yassqueendb
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10
Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀
Graphzoo
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9
Facilitating learning, using, and designing graph processing pipelines/models systematically.
Enero
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9
Code used in the paper "ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning". In this paper, the DRL agent is implemented with the PPO algorithm
Related Searches
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1-25 of 25 search results
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