WoMG: Word of Mouth Generator
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Updated
Mar 28, 2021 - Jupyter Notebook
WoMG: Word of Mouth Generator
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 R package for consistent estimation of the number of communities via regularized network embedding.
NetHash algorithm from IJCAI 2018
Embedding graph in metric spaces
DeepWalk - Deep Learning for Graphs
code and data for ICLR 2024 paper ''Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space''
This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).
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
Network Embedding on Heterogenous Information Networks
repository accompanies the paper "Interacting brains revisited: A cross-brain network neuroscience perspective"
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"
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