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121 search results found

Awesome Graph Classification ⭐ 4,715

A collection of important graph embedding, classification and representation learning papers with implementations.

Euler ⭐ 2,846

A distributed graph deep learning framework.

Nrlpapers ⭐ 2,521

Must-read papers on network representation learning (NRL) / network embedding (NE)

Pytorch_geometric_temporal ⭐ 2,386

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Awesome Network Embedding ⭐ 2,218

A curated list of network embedding techniques.

Karateclub ⭐ 1,950

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Openne ⭐ 1,672

An Open-Source Package for Network Embedding (NE)

Graphvite ⭐ 831

GraphVite: A General and High-performance Graph Embedding System

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Littleballoffur ⭐ 651

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Awesome Deep Graph Clustering ⭐ 626

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Datasets ⭐ 521

A repository of pretty cool datasets that I collected for network science and machine learning research.

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

Awesome Deep Community Detection ⭐ 397

Deep and conventional community detection related papers, implementations, datasets, and tools.

Nlp Projects ⭐ 345

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

SMORe: Modularize Graph Embedding for Recommendation

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Heterogeneous Graph Neural Network

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Seal Ci ⭐ 206

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Splitter ⭐ 203

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"

Awesome Hyperbolic Learning ⭐ 186

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Representation Learning On Heterogeneous Graph ⭐ 178

Representation-Learning-on-Heterogeneous-Graph

Role2vec ⭐ 157

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Bigscity Libcity Paperlist ⭐ 132

Paper list in traffic prediction field

Braingb ⭐ 131

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Diff2vec ⭐ 116

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

Transnet ⭐ 103

Source code and datasets of IJCAI2017 paper "TransNet: Translation-Based Network Representation Learning for Social Relation Extraction".

Pytorch Agnn ⭐ 94

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)

ICE: Item Concept Embedding

Sdne Keras ⭐ 77

Keras implementation of Structural Deep Network Embedding, KDD 2016

ConMask model described in paper Open-world Knowledge Graph Completion.

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Tri-Party Deep Network Representation, IJCAI-16

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

Max-margin DeepWalk

Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

Graphml Tutorials ⭐ 63

Tutorials for Machine Learning on Graphs

Pytorch_han ⭐ 55

异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

Chinese Reading Notes Of Graph Learning ⭐ 52

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)

Network Representation Learning with Rich Text Information (IJCAI 2015)

Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"

GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9302718

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Online Node2vec ⭐ 36

Node Embeddings in Dynamic Graphs

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

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

Boostedfactorization ⭐ 31

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Ethereum Privacy ⭐ 28

Profiling and Deanonymizing Ethereum Users

Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"

This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).

Shift Robust Gnns ⭐ 24

"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

Disenkgat ⭐ 23

This is a PyTorch implementation for the CIKM-2021 paper (DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network).

the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）

Code of the paper "Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective"

Awesome Temporal Graph Learning ⭐ 21

Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).

Friends Recommender In Social Network ⭐ 21

Friends Recommendation and Link Prediction in Social Netowork

Graph Alignment Python Library (GALib): a lightweight, user-friendly, and highly versatile Python library for diverse unrestricted graph alignment algorithms. With GALib, you can effortlessly align networks and leverage its extensive range of functionalities.

Awesome Higherordergraph ⭐ 17

Collection of papers relating data-driven higher-order graph/networks researches.

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

Resolutions 2019 ⭐ 16

A list of data mining and machine learning papers that I implemented in 2019.

Parallelized Binary embedding GENerator for Attributed graphs

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)

Netemb Datasets ⭐ 15

A collection of real-world networks/graphs for Network Embedding

Dynamic programming algorithms for exact linear clustering in networks.

Unsupervised Differentiable Multi-aspect Network Embedding (asp2vec) (KDD2020)

SDG: A Simplified and Dynamic Graph Neural Network, SIGIR' 2021

This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"

Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)

Cikm18 Lcva ⭐ 12

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Drug Target Interaction Prediciton Method ⭐ 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

This is the source code of "Network Embedding with Completely-Imbalanced Labels". TKDE2020

Extended Simgnn ⭐ 11

A PyTorch Geometric implementation of SimGNN with some extensions.

Yassqueendb ⭐ 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. 📚🧠🚀

1-100 of 121 search results

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