Visualization of Graphs and HypergraphsDHG provides a powerful visualization tool for graph and hypergraph. You can easily visualize the structure of your graph and hypergraph. Bridge the Gap between Graphs and Hypergraphs: DHG provides functions to build hypergraph from graph and build graph from hype...
TensorFlow is very powerful and mature deep learning library with strong visualization capabilities and several options to use for high-level model development. It has production-ready deployment options and support for mobile platforms. TensorFlow is a good option if you: Develop models for production...
Subgraph Visualization of GNN Explanations (#6235) 2年前 .pre-commit-config.yaml feat(pre-commit): addciconfigurations (#6780) 2年前 CHANGELOG.md Addutils.selectandutils.narrow(#6810) 2年前 CITATION.cff version up 3年前 LICENSE Add icons to documentation (#6751) ...
fromtorchviewimportdraw_graphmodel=MLP()batch_size=2# device='meta' -> no memory is consumed for visualizationmodel_graph=draw_graph(model,input_size=(batch_size,128),device='meta')model_graph.visual_graph Notebook Examples For more examples, see colab notebooks below, ...
作为一个简单的例子,这里是一个非常简单的模型,有两个线性层和一个激活函数。我们将创建一个实例,并要求它报告其参数: importtorchclassTinyModel(torch.nn.Module):def__init__(self):super(TinyModel,self).__init__()self.linear1=torch.nn.Linear(100,200)self.activation=torch.nn.ReLU()self.linear2...
import torchimport torch.nn.functional as Fimport torchvision.transforms as transformsimport torchvision.models as modelsimport captumfrom captum.attr import IntegratedGradients, Occlusion, LayerGradCam, LayerAttributionfrom captum.attr import visualization as vizimport os, sysimport jsonimport numpy as npfr...
Since PyTorch programs execute eagerly, all the features of Python are available throughout the whole design process. Print statements, standard debuggers, and common visualization tools like matplotlib all work as expected. Users do not have to wait for lengthy compilation before they can start run...
作为一个简单的例子,这里是一个非常简单的模型,有两个线性层和一个激活函数。我们将创建一个实例,并要求它报告其参数: importtorchclassTinyModel(torch.nn.Module):def__init__(self):super(TinyModel, self).__init__() self.linear1 = torch.nn.Linear(100,200) ...
# initialize var in graph # following function (plot_with_labels) is for visualization, can be ignored if not interested from matplotlib import cm try: from sklearn.manifold import TSNE; HAS_SK = True except: HAS_SK = False; print('\nPlease install sklearn for layer visualization\n') de...
RNAGlib: A package to facilitate construction, analysis, visualization and machine learning on RNA 2.5D Graphs. Includes a pre-built dataset:https://rnaglib.cs.mcgill.ca OpenHGNN: Model zoo and benchmarks for Heterogeneous Graph Neural Networks.https://github.com/BUPT-GAMMA/OpenHGNN ...