nashid Goto Github PK
Name: nashid
Type: User
Company: @UBC
Location: Canada
Name: nashid
Type: User
Company: @UBC
Location: Canada
Must-read papers on graph neural networks (GNN)
A recipe to study Graph Neural Networks (GNNs)
Google Research
Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
Using GPT-3 to detect hate speech that contains sexist and racist content
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
A tool to provide the graph representation of the source code based on the paper: "Learning to Represent Program with Graph, ICLR'18"
Code for "Generative Code Modeling with Graphs" (ICLR'19)
links to conference publications in graph-based deep learning
Source code of Graph-Bert
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
Graph4Tree is a simple example code for our EMNLP'20 Findings paper idea.
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
GraphGen4Code: a toolkit for creating code knowledge graphs based on WALA code analysis and extraction of documentation and forum content.
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
This repo is to present various code demos on how to use our Graph4NLP library.
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) and Graph Adversarial Learning with TensorFlow 2.x and PyTorch backend.
Recipe for a General, Powerful, Scalable Graph Transformer
Platform for designing and evaluating Graph Neural Networks (GNN)
Official Pytorch Implementation of GraphiT
Code and data for paper "Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree".
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.