zakimjz

dmbook-slides

Data Mining Book Slides

cSPADE

cSPADE: mining frequent sequence patterns with constraints (extension of SPADE)

SCPM

SCPM algorithm for structural correlation pattern mining

SLEUTH

SLEUTH Algorithm for mining frequent embedded/induced unordered/ordered trees

DMTL

Data Mining Template Library

CLICKS

CLICKS finds subspace clusters in categorical data using a k-partite clique mining approach.

Origami

Origami: Algorithm for Representative Orthogonal Graph Mining and Sampling

BAMnet

BAMnet: Bidirectional Attentive Memory Networks for Question Answering over Knowledge Graphs

ContextShapes

ContextShapes Algorithm for rigid-body protein shape matching and docking

IQRA

Query Sets for Citation Networks

TriCluster

TriCluster and microCluster gene expression clustering algorithms

VOGUE

VOGUE: Variable Order HMM with Duration

zakimjz.github.io

My WebSite

CHARM-L

CHARM-L algorithm to generate the closed itemset lattice and non-redundant rules

DSKE

FETILDA

Source code and Data Repository for FETILDA: Fin-tuned Embeddings of Texts In Long Document Analysis

flyvec

A biologically inspired method to create sparse, binary word vectors

GraphFlow

Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"

HG2Vec

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.

IDGL

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

MUSK

MUSK Algorithm for Sampling Maximal Subgraphs

OSS

Output space sampling for graph pattern mining

PFoodReq

Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"

PSIST

PSIST algorithm to index and query 3D protien structures

recipe_recommendation

Reciptor

Code & data for the KDD 2020 paper "Reciptor: An Effective Pretrained Model for Recipe Representation Learning"

SCHISM

SCHISM finds interesting subspace clusters

SPARCL

SPARCL algorithm for finding shape-based clusters.

TemporalSummaries

This system generates natural language summaries for time-series data pertaining to the personal health domain

Xrules

Xrules for mining discriminative patterns from tree-structured XML documents for classification