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Search results for graph network embedding
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network-embedding
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40 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)
Awesome Network Embedding
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2,218
A curated list of network embedding techniques.
Karateclub
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1,950
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Gem
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1,210
Graphvite
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831
GraphVite: A General and High-performance Graph Embedding System
Littleballoffur
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651
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Simgnn
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540
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
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).
Gemsec
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234
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
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)
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).
Dmgi
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117
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
Diff2vec
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116
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Bionev
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111
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Pytorch Agnn
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94
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
Evalne
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91
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Conmask
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77
ConMask model described in paper Open-world Knowledge Graph Completion.
Tridnr
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72
Tri-Party Deep Network Representation, IJCAI-16
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
Magnn
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66
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
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
Regal
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54
Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
Grarep
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54
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
Chinese Reading Notes Of Graph Learning
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52
Feather
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39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Awesome Higherordergraph
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17
Collection of papers relating data-driven higher-order graph/networks researches.
Resolutions 2019
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16
A list of data mining and machine learning papers that I implemented in 2019.
Netemb Datasets
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15
A collection of real-world networks/graphs for Network Embedding
Drug Target Interaction Prediciton Method
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12
This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction prediction using graph embedding, graph mining, and similarity-based techniques
Extended Simgnn
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11
A PyTorch Geometric implementation of SimGNN with some extensions.
Nodesketch
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10
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching
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. 📚🧠🚀
Conve
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9
Implementation of ConvE proposed by Dettmers et al. in Convolutional 2D Knowledge Graph Embeddings.
Hope
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8
This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).
Simgnn
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8
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
Riwalk
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6
Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".
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