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Search results for graph representation learning
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representation-learning
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28 search results found
Awesome Network Embedding
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2,218
A curated list of network embedding techniques.
Ampligraph
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1,963
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Graphvite
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831
GraphVite: A General and High-performance Graph Embedding System
Pykg2vec
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294
Python library for knowledge graph embedding and representation learning.
Representation Learning On Heterogeneous Graph
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178
Representation-Learning-on-Heterogeneous-Graph
Dkrl
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177
Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)
Role2vec
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157
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Gnn Lspe
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114
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
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.
Graphml Tutorials
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63
Tutorials for Machine Learning on Graphs
Graph_2d_cnn
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59
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'
Tkrl
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54
Representation Learning of Knowledge Graphs with Hierarchical Types (IJCAI-2016)
Gat2vec
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54
representation learning on attributed graphs
Regal
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54
Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
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".
Dkrl
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39
Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI-2016)
Grace
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28
PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
Malnet Graph
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27
A large-scale database for graph representation learning
Vgrnn
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24
Variational Graph Recurrent Neural Networks - PyTorch
Gake
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24
GAKE: Graph Aware Knowledge Embedding(COLING2016)
Eicu Gnn Lstm
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24
This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).
Cldr_clner_models
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23
Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure. Given a sentence (unstructured text) and its graph, we use contrastive learning to impose relation-related structure on the token level representations of the sentence obt
Subg Con
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23
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
Bgrl_pytorch
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23
Pytorch implementation of "Bootstrapped Representation Learning on Graphs"
Graph Classification With Gcn
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15
A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.
Argf_multimodal_fusion
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14
codes for: Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
Higcn
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9
HiGCN: a hierarchical graph convolution network for representation learning of gene expression data
Sympa
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8
Embedding graphs in symmetric spaces
Decimation Pooling
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8
"Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" - Bianchi et al., 2019.
Tkrl
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7
Representation Learning of Knowledge Graphs with Hierarchical Types (IJCAI'16)
Nestedsubtreehash
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7
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
Riwalk
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6
Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".
Phishgnn
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6
Phishing detection using GNNs
Hosgns
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6
Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"
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