nphdang / Sqn2Vec
Unsupervised Sequence Embedding via Sequential Patterns
☆22Updated 6 years ago
Alternatives and similar repositories for Sqn2Vec
Users that are interested in Sqn2Vec are comparing it to the libraries listed below
Sorting:
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap☆29Updated 3 years ago
- Python Interface of the Scalable Bayesian Rule Lists☆20Updated 5 years ago
- Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"☆57Updated 5 years ago
- Causing: CAUsal INterpretation using Graphs☆58Updated last week
- Course titled Practical Machine Learning on Graphs☆44Updated 4 years ago
- Using Bayesian inference to mine rule sets☆12Updated 5 years ago
- A new framework to generate interpretable classification rules☆17Updated 2 years ago
- This Python package implements algorithms for multiviews (multimodals) learning☆14Updated 7 months ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)☆16Updated last year
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- AST factorization: transformation AST of Kotlin source code to a vector☆11Updated 5 years ago
- Minimum description length principle algorithm in Python, for optimal binning of continuous variables☆60Updated 2 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Rem…☆27Updated 3 years ago
- Temporal Walk Based Centrality Metric for Graph Streams☆14Updated 2 years ago
- (Personalized) Page-Rank computation using PyTorch☆90Updated 2 years ago
- Change Detection in a sequence of Graphs☆22Updated 3 years ago
- A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec☆163Updated last week
- Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables☆11Updated 6 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- Implements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network (S…☆33Updated 2 years ago
- Examples using PyTorch-BigGraph☆17Updated 5 years ago
- Rule Extraction Methods for Interactive eXplainability☆43Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- Benchmark for Graph Embedding Methods☆47Updated 4 years ago
- A collection of data sets for stream learning.☆33Updated 5 years ago
- ☆34Updated 4 years ago