ohyyyho

ohyyyho's Stars

• jlegewie/zotfile

  Zotero plugin to manage your attachments: automatically rename, move, and attach PDFs (or other files) to Zotero items, sync PDFs from your Zotero library to your (mobile) PDF reader (e.g. an iPad, Android tablet, etc.), and extract PDF annotations.

  Language:Java4.1k282

• Dymsia/CNP_CBBA-

  Contract net protocol (CNP algorithm), decentralized market-based protocol for multi-agent multi-task allocation problems over networks with time windows, and priority constraints

  Language:MATLAB4719

• jharwell/fordyca

  Recursive task allocation approach to foraging in swarm robotics. ARGoS and ROS.

  Language:C++276

• JohannesAutenrieb/mission_planning

  Mission Planning & Task Allocation - Team A for UAV Swarm Project for BAE Systems UAV Swarm Challenge

  Language:Python7821

• labimage/Multi-robot-Task-Allocation

  Multi-robot Task Allocation for Heterogeneous Teams of Two Types with Complex-schedule Constraints

  376

• robin-shaun/Multi-UAV-Task-Assignment-Benchmark

  A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem

  Language:Python14831

• bilibili30/UAV-task-allocation-PSO

  基于粒子群算法多无人机任务分配

  Language:Python11710

• Furhyat/task-allocation-auctions

  Dynamic decentralized task allocation algorithms for multi-agent systems using auctions and machine learning

  6310

• MartinBraquet/task-allocation-auctions

  Dynamic decentralized task allocation algorithms for multi-agent systems using auctions

  Language:MATLAB10111

• NSLab-CUK/Graph-Mining-Spring-2024

  Welcome to the Graph Mining (06837-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.

  Language:Jupyter Notebook72

• Erfaan-Rostami/Hypergraph-and-Graph-Neural-Network-HGNN-GNN--

  Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper ,a new neural network model has propose which called graph neural network (GNN)

  Language:Jupyter Notebook5410

• RichardHGL/UPGAN

  This repository contains the source code for the WWW 2020 paper "Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning"

  Language:Python187

• dair-ai/GNNs-Recipe

  🟠 A study guide to learn about Graph Neural Networks (GNNs)

  1.1k116

• snap-stanford/GraphGym

  Platform for designing and evaluating Graph Neural Networks (GNN)

  Language:Python1.7k186

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k3k

• opensemanticsearch/open-semantic-search

  Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

  Language:Shell985170

• retentioneering/retentioneering-tools

  Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

  Language:Python810124

• yushundong/PyGDebias

  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms

  Language:Python618

• Wentao-Xu/HIST

  The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

  Language:Python24268

• recap-utr/argument-graph-mining

  Implementation of the Paper "Towards an Automated Argument Mining Pipeline to Transform Plain Text to Argument Graphs"

  Language:Jupyter Notebook225

• shubhomoydas/ad_examples

  A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

  Language:Python849185

• BGT-M/spartan2

  A collection of data mining algorithms on big graphs and time series

  Language:Python8620

• jerlendds/osintbuddy

  Node graphs, OSINT data mining, and plugins. Connect unstructured and public data for transformative insights

  Language:TypeScript73167

• ftheberge/GraphMiningNotebooks

  Language:Jupyter Notebook3420

• google/graph-mining

  Language:C++57120

• snap-stanford/snap

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

  Language:C++2.2k800

• facebookresearch/dachshund

  Dachshund is a graph mining library written in Rust. It provides high performance data structures for multiple kinds of graphs, from simple undirected graphs to typed hypergraphs. Dachshund also provides algorithms for common tasks for graph mining and analysis, ranging from shortest paths to graph spectral analysis.

  Language:Rust9013

• zwcolin/EEG-Transformer

  A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

  Language:Python16320