A Python library to access ISO country, subdivision, language, currency and script definitions and their translations.

The country converter (coco) - a Python package for converting country names between different classification schemes.

DSPy: The framework for programming—not prompting—foundation models

Google Drive Public File Downloader when Curl/Wget Fails

A web interface and cli tool for git-latexdiff by uploading two overleaf project zip file.

A complete alternative for Overleaf with VSCode + Web + Git Integration + Copilot + Grammar & Spell Checker + Live Collaboration Support. Based on GitHub Codespace and Dev container.

Implementation of GuP [Arai+ SIGMOD'23]

The source code of "A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction"

Tools to Design or Visualize Architecture of Neural Network

This repository contains everything you need to become tech interview Ready with most important tips and techniques

GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. PVLDB, 7(7):517-528, 2014.

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo

A small utility to modify the dynamic linker and RPATH of ELF executables

Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling

Reference implementations for the LDBC Social Network Benchmark's Business Intelligence (BI) workload

An in-process property graph database management system built for query speed and scalability.

A tool to generate your github summary card for profile README

Docker base for WebLaTeX

Tool for visualizing GitHub profiles

RI is a general purpose algorithm for one-to-one exact subgraph isomorphism problem maintaining topological constraints.

A subgraph isomorphism algorithm.

Labelled Subgraph Query Benchmark – A lightweight benchmark suite focusing on subgraph matching queries. Note: This is a microbenchmark for system developers and not an official LDBC benchmark.

I'm hosting the files originially provided by Ahmed El-Kishky on github with minimal changes.

The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)