Graph Neural Networks NLP NLP Tools
Tools and implementations of graph neural networks applied to NLP tasks including text classification, sentiment analysis, topic modeling, and document understanding. Does NOT include general graph algorithms, non-NLP graph applications, or standalone embedding methods without graph structures.
There are 46 graph neural networks nlp tools tracked. The highest-rated is IndexFziQ/GNN4NLP-Papers at 42/100 with 907 stars.
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| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
IndexFziQ/GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas. |
|
Emerging |
| 2 |
kyzhouhzau/NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN,... |
|
Emerging |
| 3 |
qipeng/gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction... |
|
Emerging |
| 4 |
kenqgu/Text-GCN
A PyTorch implementation of "Graph Convolutional Networks for Text... |
|
Emerging |
| 5 |
daiquocnguyen/Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022)... |
|
Emerging |
| 6 |
Cynwell/Text-Level-GNN
Text Level Graph Neural Network for Text Classification |
|
Emerging |
| 7 |
Jiakui/awesome-gcn
resources for graph convolutional networks (图卷积神经网络相关资源) |
|
Emerging |
| 8 |
qkrdmsghk/TextSSL
[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for... |
|
Emerging |
| 9 |
CRIPAC-DIG/TextING
[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure:... |
|
Emerging |
| 10 |
plkmo/Bible_Text_GCN
Pytorch implementation of "Graph Convolutional Networks for Text Classification" |
|
Emerging |
| 11 |
ianycxu/GCN-with-BERT
Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task... |
|
Emerging |
| 12 |
kaize0409/HyperGAT_TextClassification
Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention... |
|
Emerging |
| 13 |
yao8839836/fast_text_gcn
FastGCN for inductive text classification |
|
Emerging |
| 14 |
Cartus/DCGCN
Densely Connected Graph Convolutional Networks for Graph-to-Sequence... |
|
Emerging |
| 15 |
kuan-wang/graph-soft-counter
[ICLR 2022] GNN is a Counter? Revisiting GNN for Question Answering |
|
Experimental |
| 16 |
nutcrtnk/DHGNet
Code for paper "Cross-lingual Transfer for Text Classification with... |
|
Experimental |
| 17 |
berksudan/GCN-Text-Classification
Text Classification using Graph Convolutional Neural Networks and Natural... |
|
Experimental |
| 18 |
chengsen/PyTorch_TextGCN
The PyTorch 1.6 and Python 3.7 implementation for the paper Graph... |
|
Experimental |
| 19 |
TencentGameMate/gnn_cross_lingual
Implementation of ACL-2021 paper: Cross-lingual Text Classification with... |
|
Experimental |
| 20 |
alecokas/swahili-text-gcn
Graph Convolutional Network for Swahili News Classification:... |
|
Experimental |
| 21 |
brochier/gvnr
Python package for the paper "Global Vectors for Node Representation"... |
|
Experimental |
| 22 |
jitinkrishnan/Diversity-Based-Generalization
Unsupervised Domain Adaptation in Text (ECML-PKDD '20) |
|
Experimental |
| 23 |
he-tiantian/PMP-GNNs
Pytorch implementation of Polarized message-passing graph neural networks... |
|
Experimental |
| 24 |
twelfth-star/LinkGPT
LinkGPT: Teaching Large Language Models To Predict Missing Links |
|
Experimental |
| 25 |
y3nk0/Graph-Based-TC
Graph-based framework for text classification |
|
Experimental |
| 26 |
p-karisani/CEPC
A domain adaptation model |
|
Experimental |
| 27 |
monk1337/Graph-Neural-networks-for-NLP
Graph Neural networks for NLP |
|
Experimental |
| 28 |
chiennv2000/LR-GCN
Label-Representative Graph Convolutional Network for Multi-Label Text Classification |
|
Experimental |
| 29 |
tata1661/SHINE-EMNLP21
Codes for SHINE published in EMNLP 2021. |
|
Experimental |
| 30 |
SamujjwalSam/Short-text_GNN
Repo on the work of Domain agnostic feature generation using GCN for short... |
|
Experimental |
| 31 |
JaTrev/unsupervised_graph-based
This is the repository of the paper "Unsupervised Graph-based Topic Modeling... |
|
Experimental |
| 32 |
zhulf0804/GCN.PyTorch
Graph Convolutional Networks for Text Classification. |
|
Experimental |
| 33 |
kuoluo1995/text-classification
CNN,RNN ,Activation functions, Graph Convolutional Networks(GCN) for Text... |
|
Experimental |
| 34 |
luoyuanlab/text_gcn_tutorial
A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks... |
|
Experimental |
| 35 |
Yahya123-hub/Classification-of-Documents-Using-Graph-Based-Features-and-KNN
An innovative project that integrates graph theory and machine learning... |
|
Experimental |
| 36 |
Pdocw/TextGCN
Graph Convolutional Networks for Text Classification |
|
Experimental |
| 37 |
bGuzzo/transformer-gnn-link-prediction
A deep, transformer-inspired Graph Attention Network (GAT) for link... |
|
Experimental |
| 38 |
Jimin9401/avocado
AVocaDo : Strategy for Adapting Vocabulary to Downstream Domain |
|
Experimental |
| 39 |
Shujian2015/graphnet_nlp_paper
List of papers that applied graph network to NLP |
|
Experimental |
| 40 |
Soumyajain29/Graph-Based-Text-Classification
This repository contains code for our project work as part of the E0-334... |
|
Experimental |
| 41 |
loserChen/Awesome-Graph
Collection of papers about graph |
|
Experimental |
| 42 |
vitormeriat/nlp-based-text-gcn
GCN applied in a text classification context. |
|
Experimental |
| 43 |
chiachienhung/SocioAdapt
Can Demographic Factors Improve Text Classification? Revisiting Demographic... |
|
Experimental |
| 44 |
BinLiang-NLP/TPDG
[WWW 2021] Target-adaptive Graph for Cross-target Stance Detection |
|
Experimental |
| 45 |
boxorange/QC-LinkPrediction
Official Implementation of Link Prediction via Node Feature Initialization... |
|
Experimental |
| 46 |
ownzonefeng/Graph-based-text-representations
The official implementation for Graph-based text representations (EPFL Master Thesis) |
|
Experimental |