422 Open source projects that are alternatives of or similar to QGNN

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

An index of recommendation algorithms that are based on Graph Neural Networks.

Inductive relation prediction by subgraph reasoning, ICML'20

Subgraph Neural Networks (NeurIPS 2020)

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Graph Embedding via Frequent Subgraphs

links to conference publications in graph-based deep learning

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

A list of data mining and machine learning papers that I implemented in 2019.

A collection of important graph embedding, classification and representation learning papers with implementations.

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Visualization tool for Graph Neural Networks

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Code and resources on scalable and efficient Graph Neural Networks

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

AAAI'21: Data Augmentation for Graph Neural Networks

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Pipeline for fast building text classification TF-IDF + LogReg baselines.

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Relation Classification - SEMEVAL 2010 task 8 dataset

NLP Classification Workshop

Pytorch differentiable molecular dynamics

Graph-based framework for text classification

Comparable documents miner: Arabic-English morphological analysis, text processing, n-gram features extraction, POS tagging, dictionary translation, documents alignment, corpus information, text classification, tf-idf computation, text similarity computation, html documents cleaning

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

Awesome Graph Self-Supervised Learning

Quadcopter Simulation and Control. Dynamics generated with PyDy.

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Lightweight C++ geometry math library (Vectors, Quaternions and Matrices)

A comprehensive tool for linguistic analysis of communities

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.

Linear algebra library for games and real-time graphics.

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

A Framework for Textual Entailment based Zero Shot text classification

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

A curated list of awesome graph & self-supervised-learning-based recommendation.

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

Sarcasm Detection for Sentiment Analysis

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

Lie groups and algebra with some quaternions

Tutorials for Machine Learning on Graphs

Keras implementation of Character-level CNN for Text Classification

Message Passing Neural Networks for Simplicial and Cell Complexes

小时候练手的nlp项目

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"