benedekrozemberczki / MUSAELinks
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
☆178Updated 3 years ago
Alternatives and similar repositories for MUSAE
Users that are interested in MUSAE are comparing it to the libraries listed below
Sorting:
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)☆69Updated 3 years ago
- A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks"…☆125Updated 3 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆276Updated 2 years ago
- A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).☆167Updated 3 years ago
- tNodeEmbed☆79Updated 2 years ago
- A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).☆82Updated 3 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆189Updated 2 years ago
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.☆106Updated last year
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆120Updated 3 years ago
- An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).☆61Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 11 months ago
- Compute graph embeddings via Anonymous Walk Embeddings☆82Updated 7 years ago
- A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).☆65Updated 3 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆369Updated 3 years ago
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆163Updated 4 years ago
- Implementation of "Overlapping Community Detection with Graph Neural Networks"☆170Updated 5 years ago
- ☆354Updated 5 years ago
- An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)☆133Updated 3 years ago
- A curated list of network embedding techniques.☆34Updated 5 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆258Updated 3 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆403Updated last year
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆254Updated 6 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).☆71Updated 2 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆295Updated 3 years ago
- A list of data mining and machine learning papers that I implemented in 2019.☆21Updated 5 years ago
- A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).☆88Updated 2 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 5 years ago
- ☆144Updated 4 years ago