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Some thing interesting about pyg
Some thing interesting about pyg
pyg,Empirical Research over the possible advantages of pretraining a Graph Neural Network for Classification by using Link Prediction. We used GCN, GAT and GraphSAGE with minibatch generation. Done for the Learning From Networks course taught by professor Fabio Vandin at the University of Padova
User: albertoformaggio1
pyg,Opto-fmri decoding of locus coeruleus firing patterns using Graph Neural Networks and the BrainGNN framework
User: arashsm79
pyg,A repo for baseline of graph pooling.
User: codingclaire
pyg,A Pytorch Implementation of “Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN”
User: cy69855522
pyg,GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
User: edisonleeeee
pyg,API wrapper for DolarPy
User: melizeche
Home Page: https://dolar.melizeche.com/api/1.0/
pyg,PoseModel: An Open-Source Toolkit for Accurate and Robust Automated Behavioral Latent Embedding
User: meysamamirsardari
Home Page: https://github.com/MeysamAmirsardari/PoseModel
pyg,This repository contains the implementation of some of the popular Graph Neural Networks (GNNs) using PyTorch Geometric to solve node classification tasks.
User: parsa-abbasi
pyg,An implementation of the Graph Convolution Networks for the Cora, Citeseer, PubMed dataset.
User: redamancy-cx330
pyg,This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
User: shuowang-ai
Home Page: https://github.com/pyg-team/pytorch_geometric/blob/master/examples/geniepath.py
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