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Name: Kishalay Das (KD)
Type: User
Bio: Area Of Interest: Machine Learning,Data Mining,Graph Neural Network,Representation Learning
Location: IIT-Kharagpur
Name: Kishalay Das (KD)
Type: User
Bio: Area Of Interest: Machine Learning,Data Mining,Graph Neural Network,Representation Learning
Location: IIT-Kharagpur
This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials
A curated list of awesome Deep Learning tutorials, projects and communities.
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
Crystal graph convolutional neural networks for predicting material properties.
Data Analysis Assignment regarding Colour blindness detection
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials. (AAAI-2023)
CrysMMNet: Multimodal Representation for Crystal Property Prediction (UAI-2023)
CrysGNN : Un-tagged Dataset (AAAI-2023)
CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)
Repo about DiffCSP++
Forked Version of DiffCSP
This is the repository for E0 259-Data-Analytics Course assignment for Module 4-Effect of Smoking
Baselines of Elemnet Model
This project is to implement neural network and convolutional neural network for the task of classifi- cation. The classification task will be that of recognizing an image and identify it as one of ten classes. You are required to train the classifiers using Fashion-MNIST clothing images.
Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction
Implementation of Graph Convolutional Networks in TensorFlow
Implement of Graph Convolution Network with Random Data Split.
Implementation of HAIN in paper IEEE BigDATA 2020: "Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion".
Code for paper LHCN submitted into PAKDD2020.
This is the repository for E0 259-Data-Analytics Course assignment for Module 2-Mars Orbital Plane.
Official code for Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS 2022)
MEGNet Baseline for crystal project.
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
A powerful Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, dragging and animations.
NeurIPS 2018 MLMM Workshop: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
This repo contains some small snippet of codes of random stuffs
This repository contains several codes to deal with graphs using Networkx.
Strategies for Pre-training Graph Neural Networks
Logml Project
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.