Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper

Last update: Mar 25, 2022

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Overview

Graph-Bert

Source code of "Graph-Bert: Only Attention is Needed for Learning Graph Representations".

Please check the script.py as the entry point. We suggest to run the code with Pycharm.

Several toolkits may be needed to run the code (1) pytorch (https://anaconda.org/pytorch/pytorch) (2) sklearn (https://anaconda.org/anaconda/scikit-learn) (3) transformers (https://anaconda.org/conda-forge/transformers) (4) networkx (https://anaconda.org/anaconda/networkx)

Learning results of Graph-Bert with graph-raw residual on Cora dataset.

Learning results of Graph-Bert with raw residual on Cora dataset.

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GitHub Repository

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Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper

Related tags

Overview

Graph-Bert

Owner

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Signature remover is a NLP based solution which removes email signatures from the rest of the text.

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline

Syntax-aware Multi-spans Generation for Reading Comprehension (TASLP 2022)

PyTorch Implementation of the paper Single Image Texture Translation for Data Augmentation

Weaviate demo with the text2vec-openai module

SDL: Synthetic Document Layout dataset

Which Apple Keeps Which Doctor Away? Colorful Word Representations with Visual Oracles

A very simple framework for state-of-the-art Natural Language Processing (NLP)

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

ChatBotProyect - This is an unfinished project about a simple chatbot.

Ongoing research training transformer language models at scale, including: BERT & GPT-2

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In this project, we aim to achieve the task of predicting emojis from tweets. We aim to investigate the relationship between words and emojis.

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🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

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