geometric.data和类torch_geometric.data.Data弄混了。Data类具有属性from_dict/to_dict，但data模块没有...
geometric.data和类torch_geometric.data.Data弄混了。Data类具有属性from_dict/to_dict，但data模块没有...
#构建网络结构,一个图做一个分类结果,判断买没买(0/1)embed_dim =128fromtorch_geometric.nnimportTopKPooling,SAGEConvfromtorch_geometric.nnimportglobal_mean_poolasgap, global_max_poolasgmpimporttorch.nn.functionalasFclassNet(torch.nn.Module):#针对图进行分类任务def__init__(self):super(Net, self)....
I just installed the package with pip3 install ogb and tried to run the small testscript: from ogb.graphproppred import PygGraphPropPredDataset from torch_geometric.data import DataLoader # Download and process data at './dataset/ogbg_molhiv/' dataset = PygGraphPropPredDataset(name="ogbg-...
torch_geometric中点和边要求从0开始# Create a mapping from unique movie indices to range [0, num_movie_nodes):unique_movie_id = ratings_df['movieId'].unique() unique_movie_id = pd.DataFrame(data={'movieId': unique_movie_id,'mappedID': pd.RangeIndex(len(unique_movie_id)),...
when import torch-sparse into jupyter notebook. import numpy as np import pandas as pd import networkx as nx import torch import torch.nn.functional as F import torch.nn as nn import torch_scatter from torch_geometric.data import Data print(torch.__version__) Details on error...
🐛 Describe the bug When trying to run the basic graphgym example with "bash run_single.sh ", I get the following error: File "main.py", line 9, in <module> from torch_geometric.graphgym.config import ( ImportError: cannot import name 'se...
import torch_geometric I even created a file with just this line of code, and I still get the error. I am running in a conda environment (4.10.3) I made sure that I installed torch_geometric while I was in the conda environment. I tried deleting and reinstalling,...
from torch_geometric.data import Data, DataLoader from models import get_edge_index edge_index = get_edge_index(n, sim) if test == '_kl_': ogn = varOGN(n_f, msg_dim, dim, dt=0.1, hidden=hidden, edge_index=get_edge_index(n, sim), aggr=aggr).cuda() ...