775 Open source projects that are alternatives of or similar to gnn-lspe

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

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StellarGraph - Machine Learning on Graphs

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Code and resources on scalable and efficient Graph Neural Networks

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links to conference publications in graph-based deep learning

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Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Visualization tool for Graph Neural Networks

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Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

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

Summary of Transformer applications for computer vision tasks.

Tutorials for Machine Learning on Graphs

Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

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GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

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

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

Graph Neural Network Library for PyTorch

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

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Graph-based machine learning for chemical property prediction

Label data using HuggingFace's transformers and automatically get a prediction service

Representation Learning on Graphs with Jumping Knowledge Networks

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

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Recalling node properties from a knowledge graph

Material for the EPFL master course "A Network Tour of Data Science", edition 2018.

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

List of Publications in Graph Contrastive Learning

🔨 🍇 💻 🚀 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

A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

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JavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.

Abstractive and Extractive Text summarization using Transformers.

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design