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Search results for graph embedding
graph-embedding
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124 search results found
Awesome Graph Classification
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4,703
A collection of important graph embedding, classification and representation learning papers with implementations.
Alink
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3,479
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Euler
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2,846
A distributed graph deep learning framework.
Graphembedding
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2,834
Implementation and experiments of graph embedding algorithms.
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.
Ampligraph
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1,963
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Karateclub
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1,950
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Cogdl
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1,671
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Gem
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1,210
Graph2vec
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791
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Graph_nets
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769
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Littleballoffur
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651
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
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).
Simgnn
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540
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Datasets
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521
A repository of pretty cool datasets that I collected for network science and machine learning research.
Pymde
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480
Minimum-distortion embedding with PyTorch
Graph Transformer
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408
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Awesome Deep Community Detection
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397
Deep and conventional community detection related papers, implementations, datasets, and tools.
Paperlist For Recommender Systems
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334
Recommender Systems Paperlist that I am interested in
Appnp
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322
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
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).
Seal Ci
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206
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Splitter
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203
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Paper List
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201
A reading paper list which is mainted daily
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
Graphwavemachine
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171
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Role2vec
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157
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Graphembeddingrecommendationsystem
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126
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
Zincbase
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124
A state of the art knowledge base
Musae
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122
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
Edmot
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122
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Diff2vec
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116
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Dhgnn
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116
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
Bionev
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111
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Coolgraph
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103
Make GNN easy to start with
Graph Embeddding
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98
Reimplementation of Graph Embedding methods by Pytorch.
Walklets
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96
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Evalne
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91
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Tigerlily
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90
TigerLily: Finding drug interactions in silico with the Graph.
Cogdl Tensorflow
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76
CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.
Asne
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76
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Graph Learning Reading List
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73
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
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
Tene
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71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Sine
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69
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Autosf
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66
Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
Awesome Graph Representation Learning
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66
A curated list of awesome graph representation learning.
Rolx
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56
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Grarep
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54
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
Mkb
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54
Knowledge Base Embedding By Cooperative Knowledge Distillation
Chinese Reading Notes Of Graph Learning
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52
Tadw
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50
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Dysat
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42
Representation learning on dynamic graphs using self-attention networks
Glodyne
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40
GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9302718
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".
Multi Label Text Classification
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39
Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)
Ge Fsg
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35
Graph Embedding via Frequent Subgraphs
Openane
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32
OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080
Watset Java
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29
An implementation of the Watset clustering algorithm in Java.
Qgnn
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28
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Malnet Graph
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27
A large-scale database for graph representation learning
Bluegraph
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26
Python framework for graph analytics and co-occurrence analysis
Edge2vec
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24
Learning node representation using edge semantics
Vgrnn
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24
Variational Graph Recurrent Neural Networks - PyTorch
Walk Transformer
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24
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Hcga
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22
Highly Comparative Graph Analysis - Code for network phenotyping
Bigi
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22
[WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization
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).
Figet Hyperbolic Space
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20
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
Incubator Hugegraph Ai
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20
The integration of HugeGraph with artificial intelligence
Analyzekge
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19
Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion
Tip
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19
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
Yelp_recommender_system_no1_solution
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16
This repo contains all files needed for building a recommender system based on 2019 Yelp Challenge Datasets. This is the No.1 solution in USC Viterbi Data Mining Competition.
Fscnmf
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16
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Resolutions 2019
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16
A list of data mining and machine learning papers that I implemented in 2019.
Sgtsnepi.jl
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16
Julia bindings to SG-t-SNE-Π
Path2vec
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15
Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings
Caps2ne
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15
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Fusedmm
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13
Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"
Dgcnn
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13
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Meim Kge
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12
Including W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, MEI, MEIM. Paper: MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction (IJCAI 2022).
Strucembedding Graphlibrary
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12
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
Egocnn
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12
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
Gosh
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12
An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.
Rect
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11
This is the source code of "Network Embedding with Completely-Imbalanced Labels". TKDE2020
Graph Embedding Techniques
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11
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Domain Adaptation
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11
Domain Adaptation with Adversarial Training and Graph Embeddings
Kb2vec
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11
Vectorizing knowledge bases for entity linking
Graph_ml
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10
Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.
Abrw
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10
Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method
Graf
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10
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .
Nodesketch
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10
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching
Nscaching
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9
Efficient, Simple, and Automated Negative Sampling for Knowledge Graph Embedding. VLDBJ 2020.
Academicrecommendation_dlut
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9
面向大连理工大学学者,基于大连理工大学机构知识库,推荐潜在主题词,优化科研方向,促进跨学部、学科、领
Simba
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9
SIMBA: SIngle-cell eMBedding Along with features
Awesome Graph Structure Learning
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8
A collection of research papers related to graph structure learning(GSL).
1-100 of 124 search results
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