From bd9f5a65060ade1b90d94007f43070ec6725226c Mon Sep 17 00:00:00 2001
From: Junxiang Wang <xianggebenben@163.com>
Date: Thu, 4 Apr 2024 19:03:44 -0400
Subject: [PATCH] update directory

---
 GraphSL.egg-info/PKG-INFO                   |  16 +++----
 GraphSL.egg-info/top_level.txt              |   5 +-
 Evaluation.py => GraphSL/Evaluation.py      |   0
 {GNN => GraphSL/GNN}/GCNSI/__init__.py      |   0
 {GNN => GraphSL/GNN}/GCNSI/main.py          |   6 +--
 {GNN => GraphSL/GNN}/GCNSI/model.py         |   0
 {GNN => GraphSL/GNN}/IVGD/__init__.py       |   0
 {GNN => GraphSL/GNN}/IVGD/correction.py     |   0
 {GNN => GraphSL/GNN}/IVGD/earlystopping.py  |   0
 {GNN => GraphSL/GNN}/IVGD/i_deepis.py       |   0
 {GNN => GraphSL/GNN}/IVGD/main.py           |  12 ++---
 {GNN => GraphSL/GNN}/IVGD/model/MLP.py      |   0
 {GNN => GraphSL/GNN}/IVGD/model/__init__.py |   0
 {GNN => GraphSL/GNN}/IVGD/preprocessing.py  |   0
 {GNN => GraphSL/GNN}/IVGD/training.py       |   0
 {GNN => GraphSL/GNN}/IVGD/validity_net.py   |   0
 {GNN => GraphSL/GNN}/SLVAE/__init__.py      |   0
 {GNN => GraphSL/GNN}/SLVAE/main.py          |   4 +-
 {GNN => GraphSL/GNN}/SLVAE/model.py         |   0
 {GNN => GraphSL/GNN}/__init__.py            |   0
 Prescribed.py => GraphSL/Prescribed.py      |   2 +-
 {data => GraphSL/data}/cora_ml              | Bin
 {data => GraphSL/data}/digg16000            | Bin
 {data => GraphSL/data}/dolphins             | Bin
 {data => GraphSL/data}/jazz                 | Bin
 {data => GraphSL/data}/karate               | Bin
 {data => GraphSL/data}/meme8000             | Bin
 {data => GraphSL/data}/netscience           | Bin
 {data => GraphSL/data}/power_grid           | Bin
 {data => GraphSL/data}/utils.py             |   2 +-
 all.py                                      |  49 --------------------
 dist/GraphSL-0.6.tar.gz                     | Bin 5573 -> 0 bytes
 dist/GraphSL-0.7.tar.gz                     | Bin 0 -> 5608 bytes
 setup.py                                    |   9 ++--
 34 files changed, 26 insertions(+), 79 deletions(-)
 rename Evaluation.py => GraphSL/Evaluation.py (100%)
 rename {GNN => GraphSL/GNN}/GCNSI/__init__.py (100%)
 rename {GNN => GraphSL/GNN}/GCNSI/main.py (98%)
 rename {GNN => GraphSL/GNN}/GCNSI/model.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/__init__.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/correction.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/earlystopping.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/i_deepis.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/main.py (97%)
 rename {GNN => GraphSL/GNN}/IVGD/model/MLP.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/model/__init__.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/preprocessing.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/training.py (100%)
 rename {GNN => GraphSL/GNN}/IVGD/validity_net.py (100%)
 rename {GNN => GraphSL/GNN}/SLVAE/__init__.py (100%)
 rename {GNN => GraphSL/GNN}/SLVAE/main.py (99%)
 rename {GNN => GraphSL/GNN}/SLVAE/model.py (100%)
 rename {GNN => GraphSL/GNN}/__init__.py (100%)
 rename Prescribed.py => GraphSL/Prescribed.py (99%)
 rename {data => GraphSL/data}/cora_ml (100%)
 rename {data => GraphSL/data}/digg16000 (100%)
 rename {data => GraphSL/data}/dolphins (100%)
 rename {data => GraphSL/data}/jazz (100%)
 rename {data => GraphSL/data}/karate (100%)
 rename {data => GraphSL/data}/meme8000 (100%)
 rename {data => GraphSL/data}/netscience (100%)
 rename {data => GraphSL/data}/power_grid (100%)
 rename {data => GraphSL/data}/utils.py (99%)
 delete mode 100644 all.py
 delete mode 100644 dist/GraphSL-0.6.tar.gz
 create mode 100644 dist/GraphSL-0.7.tar.gz

diff --git a/GraphSL.egg-info/PKG-INFO b/GraphSL.egg-info/PKG-INFO
index 8206e35..c758e56 100644
--- a/GraphSL.egg-info/PKG-INFO
+++ b/GraphSL.egg-info/PKG-INFO
@@ -1,22 +1,20 @@
 Metadata-Version: 2.1
 Name: GraphSL
-Version: 0.6
+Version: 0.7
 Summary: Graph Source Localization Approaches and Benchmark Datasets
 Home-page: https://xianggebenben.github.io/Junxiang_Wang.github.io/
-Download-URL: https://github.com/xianggebenben/GraphSL/archive/refs/tags/v.0.6.tar.gz
 Author: Junxiang Wang
 Author-email: junxiang.wang@alumni.emory.edu
 License: MIT
+Download-URL: https://github.com/xianggebenben/GraphSL/archive/refs/tags/v.0.6.tar.gz
 Keywords: Graph Diffusion,Graph Source Localization,Prescribed Methods,GNN Methods,Benchmark
+Platform: UNKNOWN
 Classifier: Development Status :: 3 - Alpha
 Classifier: License :: OSI Approved :: MIT License
 Classifier: Programming Language :: Python :: 3
 Classifier: Programming Language :: Python :: 3.10
+Requires-Python: >=3.9
 License-File: LICENSE
-Requires-Dist: numpy
-Requires-Dist: networkx
-Requires-Dist: ndlib
-Requires-Dist: torch
-Requires-Dist: scikit-learn
-Requires-Dist: scipy
-Requires-Dist: torch_geometric
+
+UNKNOWN
+
diff --git a/GraphSL.egg-info/top_level.txt b/GraphSL.egg-info/top_level.txt
index 71e43f3..8b13789 100644
--- a/GraphSL.egg-info/top_level.txt
+++ b/GraphSL.egg-info/top_level.txt
@@ -1,4 +1 @@
-Evaluation
-GNN
-Prescribed
-data
+
diff --git a/Evaluation.py b/GraphSL/Evaluation.py
similarity index 100%
rename from Evaluation.py
rename to GraphSL/Evaluation.py
diff --git a/GNN/GCNSI/__init__.py b/GraphSL/GNN/GCNSI/__init__.py
similarity index 100%
rename from GNN/GCNSI/__init__.py
rename to GraphSL/GNN/GCNSI/__init__.py
diff --git a/GNN/GCNSI/main.py b/GraphSL/GNN/GCNSI/main.py
similarity index 98%
rename from GNN/GCNSI/main.py
rename to GraphSL/GNN/GCNSI/main.py
index e985238..c874fdc 100644
--- a/GNN/GCNSI/main.py
+++ b/GraphSL/GNN/GCNSI/main.py
@@ -2,10 +2,10 @@
 from scipy.sparse import csgraph,coo_matrix
 import copy
 import numpy as np
-from GNN.GCNSI.model import GCNSI_model
-from Prescribed import LPSI
+from GraphSL.GNN.GCNSI.model import GCNSI_model
+from GraphSL.Prescribed import LPSI
 from sklearn.metrics import roc_auc_score,f1_score,accuracy_score,precision_score,recall_score
-from Evaluation import Metric
+from GraphSL.Evaluation import Metric
 class GCNSI:
     """
     Implement the Graph Convolutional Networks based Source Identification (GCNSI).
diff --git a/GNN/GCNSI/model.py b/GraphSL/GNN/GCNSI/model.py
similarity index 100%
rename from GNN/GCNSI/model.py
rename to GraphSL/GNN/GCNSI/model.py
diff --git a/GNN/IVGD/__init__.py b/GraphSL/GNN/IVGD/__init__.py
similarity index 100%
rename from GNN/IVGD/__init__.py
rename to GraphSL/GNN/IVGD/__init__.py
diff --git a/GNN/IVGD/correction.py b/GraphSL/GNN/IVGD/correction.py
similarity index 100%
rename from GNN/IVGD/correction.py
rename to GraphSL/GNN/IVGD/correction.py
diff --git a/GNN/IVGD/earlystopping.py b/GraphSL/GNN/IVGD/earlystopping.py
similarity index 100%
rename from GNN/IVGD/earlystopping.py
rename to GraphSL/GNN/IVGD/earlystopping.py
diff --git a/GNN/IVGD/i_deepis.py b/GraphSL/GNN/IVGD/i_deepis.py
similarity index 100%
rename from GNN/IVGD/i_deepis.py
rename to GraphSL/GNN/IVGD/i_deepis.py
diff --git a/GNN/IVGD/main.py b/GraphSL/GNN/IVGD/main.py
similarity index 97%
rename from GNN/IVGD/main.py
rename to GraphSL/GNN/IVGD/main.py
index 02ad91a..3e6c126 100644
--- a/GNN/IVGD/main.py
+++ b/GraphSL/GNN/IVGD/main.py
@@ -2,13 +2,13 @@
 import numpy as np
 import torch
 import torch.nn as nn
-from GNN.IVGD.correction import correction
-from GNN.IVGD.i_deepis import i_DeepIS, DiffusionPropagate
-from GNN.IVGD.training import FeatureCons, get_idx_new_seeds
-from GNN.IVGD.model.MLP import MLPTransform
-from GNN.IVGD.training import train_model
+from GraphSL.GNN.IVGD.correction import correction
+from GraphSL.GNN.IVGD.i_deepis import i_DeepIS, DiffusionPropagate
+from GraphSL.GNN.IVGD.training import FeatureCons, get_idx_new_seeds
+from GraphSL.GNN.IVGD.model.MLP import MLPTransform
+from GraphSL.GNN.IVGD.training import train_model
 from sklearn.metrics import roc_auc_score,f1_score,accuracy_score,precision_score,recall_score
-from Evaluation import Metric
+from GraphSL.Evaluation import Metric
 import torch.optim as optim
 import warnings
 warnings.filterwarnings("ignore")
diff --git a/GNN/IVGD/model/MLP.py b/GraphSL/GNN/IVGD/model/MLP.py
similarity index 100%
rename from GNN/IVGD/model/MLP.py
rename to GraphSL/GNN/IVGD/model/MLP.py
diff --git a/GNN/IVGD/model/__init__.py b/GraphSL/GNN/IVGD/model/__init__.py
similarity index 100%
rename from GNN/IVGD/model/__init__.py
rename to GraphSL/GNN/IVGD/model/__init__.py
diff --git a/GNN/IVGD/preprocessing.py b/GraphSL/GNN/IVGD/preprocessing.py
similarity index 100%
rename from GNN/IVGD/preprocessing.py
rename to GraphSL/GNN/IVGD/preprocessing.py
diff --git a/GNN/IVGD/training.py b/GraphSL/GNN/IVGD/training.py
similarity index 100%
rename from GNN/IVGD/training.py
rename to GraphSL/GNN/IVGD/training.py
diff --git a/GNN/IVGD/validity_net.py b/GraphSL/GNN/IVGD/validity_net.py
similarity index 100%
rename from GNN/IVGD/validity_net.py
rename to GraphSL/GNN/IVGD/validity_net.py
diff --git a/GNN/SLVAE/__init__.py b/GraphSL/GNN/SLVAE/__init__.py
similarity index 100%
rename from GNN/SLVAE/__init__.py
rename to GraphSL/GNN/SLVAE/__init__.py
diff --git a/GNN/SLVAE/main.py b/GraphSL/GNN/SLVAE/main.py
similarity index 99%
rename from GNN/SLVAE/main.py
rename to GraphSL/GNN/SLVAE/main.py
index f84b1ac..78781bf 100644
--- a/GNN/SLVAE/main.py
+++ b/GraphSL/GNN/SLVAE/main.py
@@ -2,10 +2,10 @@
 import torch
 import torch.nn.functional as F
 import numpy as np
-from GNN.SLVAE.model import VAE,GNN,DiffusionPropagate
+from GraphSL.GNN.SLVAE.model import VAE,GNN,DiffusionPropagate
 from torch.optim import Adam
 from sklearn.metrics import roc_auc_score,f1_score,accuracy_score,precision_score,recall_score
-from Evaluation import Metric
+from GraphSL.Evaluation import Metric
 class SLVAE_model(nn.Module):
     """
     Source Localization Variational Autoencoder (SLVAE) model combining VAE, GNN, and propagation modules.
diff --git a/GNN/SLVAE/model.py b/GraphSL/GNN/SLVAE/model.py
similarity index 100%
rename from GNN/SLVAE/model.py
rename to GraphSL/GNN/SLVAE/model.py
diff --git a/GNN/__init__.py b/GraphSL/GNN/__init__.py
similarity index 100%
rename from GNN/__init__.py
rename to GraphSL/GNN/__init__.py
diff --git a/Prescribed.py b/GraphSL/Prescribed.py
similarity index 99%
rename from Prescribed.py
rename to GraphSL/Prescribed.py
index e4e7981..69ebe4d 100644
--- a/Prescribed.py
+++ b/GraphSL/Prescribed.py
@@ -4,7 +4,7 @@
 import torch
 from sklearn.metrics import roc_auc_score,f1_score,accuracy_score,precision_score,recall_score
 from scipy.sparse import csgraph,coo_matrix
-from Evaluation import Metric
+from GraphSL.Evaluation import Metric
 
 class LPSI:
     """
diff --git a/data/cora_ml b/GraphSL/data/cora_ml
similarity index 100%
rename from data/cora_ml
rename to GraphSL/data/cora_ml
diff --git a/data/digg16000 b/GraphSL/data/digg16000
similarity index 100%
rename from data/digg16000
rename to GraphSL/data/digg16000
diff --git a/data/dolphins b/GraphSL/data/dolphins
similarity index 100%
rename from data/dolphins
rename to GraphSL/data/dolphins
diff --git a/data/jazz b/GraphSL/data/jazz
similarity index 100%
rename from data/jazz
rename to GraphSL/data/jazz
diff --git a/data/karate b/GraphSL/data/karate
similarity index 100%
rename from data/karate
rename to GraphSL/data/karate
diff --git a/data/meme8000 b/GraphSL/data/meme8000
similarity index 100%
rename from data/meme8000
rename to GraphSL/data/meme8000
diff --git a/data/netscience b/GraphSL/data/netscience
similarity index 100%
rename from data/netscience
rename to GraphSL/data/netscience
diff --git a/data/power_grid b/GraphSL/data/power_grid
similarity index 100%
rename from data/power_grid
rename to GraphSL/data/power_grid
diff --git a/data/utils.py b/GraphSL/data/utils.py
similarity index 99%
rename from data/utils.py
rename to GraphSL/data/utils.py
index fc95f45..70592a6 100644
--- a/data/utils.py
+++ b/GraphSL/data/utils.py
@@ -7,7 +7,7 @@
 import copy
 
 
-def load_dataset(dataset, data_dir='data'):
+def load_dataset(dataset, data_dir='GraphSL\data'):
     """
     Load a dataset from a pickle file.
 
diff --git a/all.py b/all.py
deleted file mode 100644
index e4edf82..0000000
--- a/all.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from data.utils import load_dataset, diffusion_generation, split_dataset
-from Prescribed import LPSI, NetSleuth, OJC
-from GNN.GCNSI.main import GCNSI
-from GNN.IVGD.main import IVGD
-from GNN.SLVAE.main import SLVAE
-data_name = 'karate'  # 'karate', 'dolphins', 'jazz', 'netscience', 'cora_ml', 'power_grid', , 'meme8000', 'digg16000'
-graph = load_dataset(data_name)
-if data_name not in ['meme8000', 'digg16000']:
-    dataset = diffusion_generation(graph=graph, infect_prob=0.3, diff_type='IC', sim_num=100, seed_ratio=0.3)
-else:
-    dataset = graph
-adj, train_dataset, test_dataset =split_dataset(dataset)
-lpsi = LPSI()
-alpha, thres, auc, f1, pred =lpsi.train(adj, train_dataset)
-print("LPSI:")
-print(f"train auc: {auc:.3f}, train f1: {f1:.3f}")
-metric=lpsi.test(adj, test_dataset, alpha, thres)
-print(f"test acc: {metric.acc:.3f}, test pr: {metric.pr:.3f}, test re: {metric.re:.3f}, test f1: {metric.f1:.3f}, test auc: {metric.auc:.3f}")
-netSleuth = NetSleuth()
-k, auc, f1=netSleuth.train(adj, train_dataset)
-print("NetSleuth:")
-print(f"train auc: {auc:.3f}, train f1: {f1:.3f}")
-metric = netSleuth.test(adj, test_dataset, k)
-print(f"test acc: {metric.acc:.3f}, test pr: {metric.pr:.3f}, test re: {metric.re:.3f}, test f1: {metric.f1:.3f}, test auc: {metric.auc:.3f}")
-ojc = OJC()
-Y, auc, f1 =ojc.train(adj, train_dataset)
-print("OJC:")
-print(f"train auc: {auc:.3f}, train f1: {f1:.3f}")
-metric=ojc.test(adj, test_dataset, Y)
-print(f"test acc: {metric.acc:.3f}, test pr: {metric.pr:.3f}, test re: {metric.re:.3f}, test f1: {metric.f1:.3f}, test auc: {metric.auc:.3f}")
-gcnsi = GCNSI()
-gcnsi_model, thres, auc, f1, pred =gcnsi.train(adj, train_dataset)
-print("GCNSI:")
-print(f"train auc: {auc:.3f}, train f1: {f1:.3f}")
-metric = gcnsi.test(adj, test_dataset, gcnsi_model, thres)
-print(f"test acc: {metric.acc:.3f}, test pr: {metric.pr:.3f}, test re: {metric.re:.3f}, test f1: {metric.f1:.3f}, test auc: {metric.auc:.3f}")
-ivgd = IVGD()
-diffusion_model = ivgd.train_diffusion(adj, train_dataset)
-ivgd_model, thres, auc, f1, pred =ivgd.train(adj, train_dataset, diffusion_model)
-print("IVGD:")
-print(f"train auc: {auc:.3f}, train f1: {f1:.3f}")
-metric = ivgd.test(test_dataset, diffusion_model, ivgd_model, thres)
-print(f"test acc: {metric.acc:.3f}, test pr: {metric.pr:.3f}, test re: {metric.re:.3f}, test f1: {metric.f1:.3f}, test auc: {metric.auc:.3f}")
-slave = SLVAE()
-slvae_model, seed_vae_train, thres, auc, f1, pred = slave.train(adj, train_dataset)
-print("SLVAE:")
-print(f"train auc: {auc:.3f}, train f1: {f1:.3f}")
-metric = slave.infer(test_dataset, slvae_model, seed_vae_train, thres)
-print(f"test acc: {metric.acc:.3f}, test pr: {metric.pr:.3f}, test re: {metric.re:.3f}, test f1: {metric.f1:.3f}, test auc: {metric.auc:.3f}")
diff --git a/dist/GraphSL-0.6.tar.gz b/dist/GraphSL-0.6.tar.gz
deleted file mode 100644
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HcmV?d00001

diff --git a/setup.py b/setup.py
index bc7be99..2914239 100644
--- a/setup.py
+++ b/setup.py
@@ -1,15 +1,15 @@
-from distutils.core import setup
+from setuptools import setup, find_packages
 
 setup(
   name = 'GraphSL',         # How you named your package folder (MyLib)
-  packages = ['GraphSL','GraphSL.data','GraphSL.Evaluation','GraphSL.GNN','GraphSL.Prescribed'],   # Chose the same as "name"
-  version = '0.6',      # Start with a small number and increase it with every change you make
+  packages = find_packages(),   # Chose the same as "name"
+  version = '0.7',      # Start with a small number and increase it with every change you make
   license='MIT',        # Chose a license from here: https://help.github.com/articles/licensing-a-repository
   description = 'Graph Source Localization Approaches and Benchmark Datasets',   # Give a short description about your library
   author = 'Junxiang Wang',                   # Type in your name
   author_email = 'junxiang.wang@alumni.emory.edu',      # Type in your E-Mail
   url = 'https://xianggebenben.github.io/Junxiang_Wang.github.io/',   # Provide either the link to your github or to your website
-  download_url = 'https://github.com/xianggebenben/GraphSL/archive/refs/tags/v.0.6.tar.gz',    # I explain this later on
+  download_url = 'https://github.com/xianggebenben/GraphSL/archive/refs/tags/v.0.7.tar.gz',    # I explain this later on
   keywords = ['Graph Diffusion', 'Graph Source Localization', 'Prescribed Methods', 'GNN Methods','Benchmark'],   # Keywords that define your package best
   install_requires=[            # I get to this in a second
           'numpy',
@@ -26,4 +26,5 @@
     'Programming Language :: Python :: 3',      #Specify which pyhton versions that you want to support
     'Programming Language :: Python :: 3.10'
   ],
+python_requires=">=3.9",
 )
\ No newline at end of file