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80 search results found

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)

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).

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).

Splitter ⭐ 203

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

Seal Ci ⭐ 201

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

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

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

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

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

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)

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.

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

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

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

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

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

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

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

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

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

[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）

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.

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

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)

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

Dynamic programming algorithms for exact linear clustering in networks.

Netemb Datasets ⭐ 15

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

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

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

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

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

Extended Simgnn ⭐ 11

A PyTorch Geometric implementation of SimGNN with some extensions.

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

Nodesketch ⭐ 10

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

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. 📚🧠🚀

Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method

Dynetlsm ⭐ 10

DynetLSM: latent space models for dynamic networks

Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)

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

Implementation of ConvE proposed by Dettmers et al. in Convolutional 2D Knowledge Graph Embeddings.

Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.

Networkembeddingpytorch ⭐ 7

Pytorch implementation of some Network Embedding methods

Link Prediction with Signed Latent Factors in Signed Social Networks (SIGKDD 2019)

Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".

Force2vec ⭐ 6

Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"

word embedding resources for sentiment classification

Reference implementation of the HEAT algorithm described in https://link.springer.com/chapter/10.1007/978-3-03

(BESIDE) ``Bridge” Enhanced Signed Directed Network Embedding

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