abitofalchemy
Graph data scientist, AI & hardware engineer - Working on design solutions using SOTA methods from NLP, Graph NN, and DL models.
DeloitteIndiana
Pinned Repositories
agave
Machine intelligence
auralML
Resources Limited Open Source Medical Tools
CategoryPaths
Exploring human behavior: Modeling human navigation of information networks
hrg-nm
Hyperedge Replacement Grammars Network Model
InfinityMirror
Infinity Mirror Graph Test
MetaGraphs
Find and extract subgraphs in a single massive graph
TalkBender
Social Signal Analysis for Media Communications
tremvibe
Multi-modal vibration mobile-cloud sensing
HRG
Hyperedge replacement grammar parser and generator
PHRG
Probabilistic Graph Generation version of Hyperedge Replacement Graph Grammars
abitofalchemy's Repositories
abitofalchemy/MetaGraphs
Find and extract subgraphs in a single massive graph
abitofalchemy/TalkBender
Social Signal Analysis for Media Communications
abitofalchemy/tremvibe
Multi-modal vibration mobile-cloud sensing
abitofalchemy/ApplicationDocs
Works not yet published
abitofalchemy/AssessHearingiOS
Sense of Hearing: Screening and Assessment
abitofalchemy/babeldocs
Documentation on X
abitofalchemy/BioComplexity
Notes and Opinion on Complex Systems in Biology
abitofalchemy/DataMining.F14.CaseStudy
abitofalchemy/DmChallenge
SCI Challenge Project
abitofalchemy/Frienso
Frienso iOS Nu
abitofalchemy/GraMi
GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well as frequent patterns, Compared to subgraphs, patterns offer a more powerful version of matching that captures transitive interactions between graph nodes (like friend of a friend) which are very common in modern applications. Also, GraMi supports user-defined structural and semantic constraints over the results, as well as approximate results. For more details, check our paper: Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, and Panos Kalnis. GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. PVLDB, 7(7):517-528, 2014.
abitofalchemy/graphchi-cpp
GraphChi's C++ version. Big Data - small machine.
abitofalchemy/graphlab
A framework for large-scale machine learning and graph computation.
abitofalchemy/hugo-strata-theme
Port of HTML5UP's Strata theme to Hugo
abitofalchemy/INDDGO
Integrated Network Decomposition & Dynamic programming for Graph Optimization problems
abitofalchemy/mobcomtutorial
Mobile Computing Tutorial
abitofalchemy/mobile-apps-projects
Univ. of Notre Dame Mobile App Examples
abitofalchemy/ndrFrienso
Android Frienso
abitofalchemy/NetworkScience
abitofalchemy/NonPeerReviewedPublications
Non-peer-reviewed publications, reports, and working papers
abitofalchemy/objc_touch_login
iOS (iphone) simple touch login VC with local and remote persistence
abitofalchemy/ObjCTouchLoginCoreData
iOS login with core data
abitofalchemy/ObjCTouchLoginParse
Fork of the login objc_touch_login with Parse persistence
abitofalchemy/rss-feed-webviewer
iOS RSS Feed Webviewer
abitofalchemy/ScientificImpactPrediction
Using HRG model to predict scientific impact
abitofalchemy/sde_technical_interviews
SDE Technical Interview Preparation Review Sheet {data structures, algorithms, programming concepts, etc}
abitofalchemy/SIRS
Simple Information Retrieval System
abitofalchemy/subdue
Graph Based Knowledge Discovery
abitofalchemy/zxing
Official ZXing ("Zebra Crossing") project home