Ashish7129 / Graph_Sampling
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
☆161Updated 4 years ago
Alternatives and similar repositories for Graph_Sampling
Users that are interested in Graph_Sampling are comparing it to the libraries listed below
Sorting:
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)☆70Updated 2 years ago
- ☆138Updated 4 years ago
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.☆106Updated last year
- Testing link prediction using Node2Vec☆66Updated 7 years ago
- A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks"…☆124Updated 2 years ago
- A Parallel Graphlet Decomposition Library for Large Graphs☆87Updated 6 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆291Updated 3 years ago
- An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)☆133Updated 2 years ago
- ☆350Updated 5 years ago
- Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)☆86Updated 10 months ago
- Implementation of "Overlapping Community Detection with Graph Neural Networks"☆164Updated 4 years ago
- Extended version of the Lancichinetti-Fortunato-Radicchi Benchmark for Undirected Weighted Overlapping networks to evaluate clustering al…☆84Updated last year
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated last year
- A curated list of network embedding techniques.☆34Updated 4 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆187Updated 5 years ago
- Graph Neural Networks for Community Detection☆63Updated 5 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆64Updated 7 years ago
- ☆351Updated 10 months ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆95Updated 4 years ago
- This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M…☆66Updated last year
- Distance Encoding for GNN Design☆187Updated 4 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- tNodeEmbed☆79Updated 2 years ago
- Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures☆130Updated 4 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)☆170Updated 2 years ago
- Fast (Personalized) PageRank Implementation☆66Updated last year
- A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)☆80Updated 6 years ago