A PyG-based package of spectral GNNs with benchmark evaluations.
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Updated
Jun 12, 2024 - Jupyter Notebook
A PyG-based package of spectral GNNs with benchmark evaluations.
This code is for the paper titled "Generative Semi-supervised Graph Anomaly Detection"
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
A list of awesome GNN systems.
autoupdate paper list
Graph Neural Network Library for PyTorch
Graph Convolution Network aided Sentiment Analysis with Dependencies utilisation
Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
Redes convolucionales definidas en grafos para la predicción de nuevas asociaciones gen-enfermedad
[KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
Triplet Graph Transformer
Official implementation of TACCO (Task-guided Co-clustering).
PyHGF: A neural network library for predictive coding
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
AsymmetriC AutoeNcodEr (ACANE → AkAne). This model is part of MSc Electrochemistry and Battery Technologies project (2022 - 2023), University of Southampton.
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A powerful and flexible machine learning platform for drug discovery
python library for atomistic machine learning
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