The BioNE is a new pipeline that integrates embedding results from different graph embedding methods, providing a more comprehensive knowledge of the network and therefore better performance on prediction tasks.

Exploring deep learning for predicting the binding affinity between a small molecule (i.e. a drug) and a protein.

An iterative node embedding method

DeepWalk - Deep Learning for Graphs

Embedding graph in metric spaces

Data Science Advanced Seminar "Incomplete Network Imbedding"

A knowledge graph containing 5 million research papers. Uses: compute Erdős numbers, rank influence of cities on research areas, detect whether researchers with the same name are the same person.

[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE

A tool for non-coding genomic regions function enrichment analysis based on Regulatory Elements Gene Ontology Annotation (RE-GOA)

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

Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

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. 📚🧠🚀

[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ACM TKDD

Paper Review about GNN and RECOMMENDER SYS.

Deepwalk implements graph embedding, and uses k-means for clustering based on the embedding results.

Parallelized Binary embedding GENerator for Attributed graphs

[ICDM 2020] Deep Semantic Network Representation