Graph-Convolution-on-Structured-Documents VS deep_gcns_torch

Compare Graph-Convolution-on-Structured-Documents vs deep_gcns_torch and see what are their differences.

Graph-Convolution-on-Structured-Documents

This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification (by dhavalpotdar)
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Graph-Convolution-on-Structured-Documents deep_gcns_torch
1 1
141 1,104
- -
0.0 0.0
over 1 year ago over 1 year ago
Python Python
- MIT License
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Graph-Convolution-on-Structured-Documents

Posts with mentions or reviews of Graph-Convolution-on-Structured-Documents. We have used some of these posts to build our list of alternatives and similar projects.
  • Tips on running github projects without specific setup instructions?
    1 project | /r/learnpython | 30 Sep 2021
    I am trying to run this python project but I have hard time even installing requirements.txt And actually I don't have any more ideas what to do to run in properly. I can imagine that situation like this one happens more often and I would like to receive some tips on what to do in such situations in general.

deep_gcns_torch

Posts with mentions or reviews of deep_gcns_torch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-04.

What are some alternatives?

When comparing Graph-Convolution-on-Structured-Documents and deep_gcns_torch you can also consider the following projects:

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

pytorch_geometric - Graph Neural Network Library for PyTorch

jina - ☁️ Build multimodal AI applications with cloud-native stack

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

GraphMixerNetworks - Official Implementation of Graph Mixer Networks

graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

Ringer-Client - Ringer is a new messaging app for windows. Its currently in beta but lets work together to make it better. The code here is snapshot code so it might not work as intended. To get the latest stable build pls download the installer.

Bi-Real-net - Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV

nasa_impacts - Plotly visualizations of NASA's IMPACTS snow storm study program