H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
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Updated
Apr 16, 2022 - Python
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
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A cool project in which we do path planning in an environment with moving obstacles and large scale fixed obstacles. We use two different representations of the world to handle the fixed and moving obstacles.
The differential drive has an ESP32 board for wireless connectivity a Client-Server network is established between the server laptop and client ESP to transmit the coordinates to the robot. An overhead camera is used to visually survey the obstacle course and image processing is used to segment the obstacles and the robot from the captured image…
Implement Algorithms For Graph Search (like A*) & Local Search (like hill climbing algorithms) & Genetics
This repository contains my Implementation of hybrid A star for a vehicle with Ackerman steering to perform complex parking maneuvers in tight parking spaces
A* graph-search algorithm for solving 2x2x2 Rubik's Cube.
Planning Project Implementation for the Udacity Artificial Intelligence Nanodegree Program
Problem Solving With AI Approaches: Heuristic Searches, Statistical Classifications
Code and notes for the Stanford Algorithms Specialization course.
Reply Code Challenge 2019 writeup.
Simulation of a social network in a graph developed as the final project of the second module of the Let's Code Data Science course
Maze generation and path finding using graph search and divide and conquer algorithms.
This repository consists of my implementations of various graph search and sampling based path planning algorithms
This program tests different search algorithms to solve the 8 puzzle.
🎮 A set of artificially intelligent Pacman agents, using different search strategies!
Mini Project - Artificial Intelligence Nanodegree
This project solves a 15 puzzle board from an input file using A star graph search
Study the connectome structure in C. Elegans by finding paths between a set of neuron classes present.
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