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23 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.

Datasets ⭐ 521

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

Awesome Deep Community Detection ⭐ 397

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

Paperlist For Recommender Systems ⭐ 334

Recommender Systems Paperlist that I am interested in

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

Paper List ⭐ 201

A reading paper list which is mainted daily

Representation Learning On Heterogeneous Graph ⭐ 178

Representation-Learning-on-Heterogeneous-Graph

Graphwavemachine ⭐ 171

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

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

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

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

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).

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

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

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

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Highly Comparative Graph Analysis - Code for network phenotyping

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

Resolutions 2019 ⭐ 16

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

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

Graph Embedding Techniques ⭐ 11

It provides some typical graph embedding techniques based on task-free or task-specific intuitions.

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

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

Awesome Graph Learning Papers ⭐ 7

A curated list of graph learning papers, articles, tutorials, slides and projects

Persona2vec ⭐ 6

Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs

This package is used to calculate the Strain Elevation Tension Spring embedding (SETSe) for networks in R

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