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Code for the paper: Augmenting genetic algorithms with deep neural networks for exploring the chemical space
representation learning on attributed graphs
Genetic algorithm for solving the Auto-Correlation Binary Sequence Problem.
The GFSM algorithm
Batch, Stochastic and Mini-batch gradient algorithm implementation using Numpy
The Graph Stream Generator (GSG) generates multiple streams of graph vertices and edges according to subgraph patterns that can be partitioned across different streams.
A streaming algorithm for graph clustering
A dynamic graph generator in Python and an implementation of a community detection algorithm
Representation learning on large graphs using stochastic graph convolutions.
Source Code of GraRep
Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
A toolbox of Hawkes processes
Code Demos from "Tracking Dynamic Point Processes on Networks"
pairwise influence modeling via Hawkes Process
Hete-CF: Social Recommendation using Heterogeneous Relations
A Transductive Classification Method on Heterogeneous Information Network
Parallel Implementation of Hierarchical Temporal Memory for Time Series Anomaly Detection
Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"
Code for generating Higher-order Network (HON) from data with higher-order dependencies
Unsupervised Feature Selection with Ordinal Locality
Transfer image to columns to support all kinds of sliding window operations
PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.
Source code and dataset used in the paper titled "Inference of Hidden Social Power through Opinion Formation in Complex Networks"
Lecture Code for Introduction to R Programming
LSTM and MLP models applied to the KDD cup'99 dataset
Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"
Metaheuristics for finding good Low Autocorrelation Binary Sequences
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.