zakimjz Goto Github PK
Name: Mohammed J Zaki
Type: User
Company: Rensselaer Polytechnic Institute
Bio: Professor at RPI, Computer Science Department
Location: Troy, NY
Blog: www.cs.rpi.edu/~zaki
Name: Mohammed J Zaki
Type: User
Company: Rensselaer Polytechnic Institute
Bio: Professor at RPI, Computer Science Department
Location: Troy, NY
Blog: www.cs.rpi.edu/~zaki
Scalable Graph Mining
BAMnet: Bidirectional Attentive Memory Networks for Question Answering over Knowledge Graphs
BLOSOM algorithm to mine arbitrary frequent boolean expressions
CHARM algorithm for closed itemset mining
CHARM-L algorithm to generate the closed itemset lattice and non-redundant rules
CLICKS finds subspace clusters in categorical data using a k-partite clique mining approach.
ContextShapes Algorithm for rigid-body protein shape matching and docking
cSPADE: mining frequent sequence patterns with constraints (extension of SPADE)
DAGGER: Reachability Index for Dynamic Graphs
Distributed Graph Mining on a Massive "Single" Graph
Data Mining Book Slides
Data Mining Template Library
Original ECLAT algorithm for frequent itemset mining
Source code and Data Repository for FETILDA: Fin-tuned Embeddings of Texts In Long Document Analysis
A biologically inspired method to create sparse, binary word vectors
Genmax algorithm for mining maximal frequent itemsets
GPU graph mining
GRAIL: A Scalable Index for Reachability Queries in Very Large Graphs
Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"
HG2Vec is a language model that learns word embeddings utilizing only dictionaries and thesauri. Our model reaches the state-of-art on multiple word similarity and relatedness benchmarks.
IBM Synthetic Data Generator for Itemsets and Sequences
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
Query Sets for Citation Networks
KATE: K-Competitive Autoencoder for Text
The minDNF method samples minimal boolean expressions in DNF.
MUSK Algorithm for Sampling Maximal Subgraphs
Clean code that implements eclat, charm and maximal itemset mining
Origami: Algorithm for Representative Orthogonal Graph Mining and Sampling
Output space sampling for graph pattern mining
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.