{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Finalcial Fraud detection using Graphs" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import os\n", "project_name = \"reco-tut-gml\"; branch = \"main\"; account = \"sparsh-ai\"\n", "project_path = os.path.join('/content', project_name)\n", "\n", "if not os.path.exists(project_path):\n", " !cp /content/drive/MyDrive/mykeys.py /content\n", " import mykeys\n", " !rm /content/mykeys.py\n", " path = \"/content/\" + project_name; \n", " !mkdir \"{path}\"\n", " %cd \"{path}\"\n", " import sys; sys.path.append(path)\n", " !git config --global user.email \"recotut@recohut.com\"\n", " !git config --global user.name \"reco-tut\"\n", " !git init\n", " !git remote add origin https://\"{mykeys.git_token}\":x-oauth-basic@github.com/\"{account}\"/\"{project_name}\".git\n", " !git pull origin \"{branch}\"\n", " !git checkout main\n", "else:\n", " %cd \"{project_path}\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!pip install -q node2vec" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import os\n", "import math\n", "import numpy as np\n", "import networkx as nx\n", "import matplotlib.pyplot as plt\n", "\n", "from networkx.algorithms import bipartite\n", "from community import community_louvain\n", "from node2vec import Node2Vec\n", "from node2vec.edges import HadamardEmbedder, AverageEmbedder, WeightedL1Embedder, WeightedL2Embedder\n", "\n", "from sklearn.ensemble import RandomForestClassifier \n", "from sklearn import metrics \n", "from sklearn.utils import resample\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.cluster import KMeans\n", "\n", "default_edge_color = 'gray'\n", "default_node_color = '#407cc9'\n", "enhanced_node_color = '#f5b042'\n", "enhanced_edge_color = '#cc2f04'\n", "\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Dataset" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The dataset used in this tutorial is the Credit Card Transactions Fraud Detection Dataset available on Kaggle at the following URL: https://www.kaggle.com/kartik2112/fraud-detection?select=fraudTrain.csv.\n", "\n", "The dataset is made up of simulated credit card transactions containing legitimate and fraudulent transactions for the period January 1, 2019 – December 31, 2020. It includes the credit cards of 1,000 customers performing transactions with a pool of 800 merchants. The dataset was generated using Sparkov Data Generation. More information about the generation algorithm is available at the following URL: https://github.com/namebrandon/Sparkov_Data_Generation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data ingestion" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!pip install -q -U kaggle\n", "!pip install --upgrade --force-reinstall --no-deps kaggle\n", "!mkdir ~/.kaggle\n", "!cp /content/drive/MyDrive/kaggle.json ~/.kaggle/\n", "!chmod 600 ~/.kaggle/kaggle.json\n", "!cd /content && kaggle datasets download -d kartik2112/fraud-detection" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!cd /content && unzip fraud-detection.zip" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv('/content/fraudTrain.csv', index_col=0)\n", "df = df[df[\"is_fraud\"]==0].sample(frac=0.20, random_state=42).append(df[df[\"is_fraud\"] == 1])\n", "df.info()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df.to_parquet('./data/financial_fraud_detection_v1.parquet.gzip', compression='gzip')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!git status" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!git add . && git commit -m 'ADD data financial_fraud' && git push origin main" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data loading" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df = pd.read_parquet('./data/financial_fraud_detection_v1.parquet.gzip').reset_index(drop=True)\n", "df.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df[\"is_fraud\"].value_counts()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Network analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since the dataset represents temporal transactions, multiple interactions can happen between a customer and a merchant. In both our formalizations, we decided to collapse all that information in a single graph. In other words, if multiple transactions are present between a customer and a merchant, we will build a single edge between the two nodes with its weight given by the sum of all the transaction amounts. A graphical representation of the direct bipartite graph is visible below:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![image.png](data:image/png;base64,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)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def build_graph_bipartite(df_input, graph_type=nx.Graph()):\n", " df = df_input.copy()\n", " mapping = {x:node_id for node_id,x in enumerate(set(df[\"cc_num\"].values.tolist() + df[\"merchant\"].values.tolist()))}\n", " df[\"from\"] = df[\"cc_num\"].apply(lambda x: mapping[x])\n", " df[\"to\"] = df[\"merchant\"].apply(lambda x: mapping[x])\n", " df = df[['from', 'to', \"amt\", \"is_fraud\"]].groupby(['from', 'to']).agg({\"is_fraud\": \"sum\", \"amt\": \"sum\"}).reset_index()\n", " df[\"is_fraud\"] = df[\"is_fraud\"].apply(lambda x: 1 if x>0 else 0)\n", " \n", " G = nx.from_edgelist(df[[\"from\", \"to\"]].values, create_using=graph_type)\n", " \n", " nx.set_node_attributes(G,{x:1 for x in df[\"from\"].unique()}, \"bipartite\")\n", " nx.set_node_attributes(G,{x:2 for x in df[\"to\"].unique()}, \"bipartite\")\n", " \n", " nx.set_edge_attributes(G, \n", " {(int(x[\"from\"]), int(x[\"to\"])):x[\"is_fraud\"] for idx, x in df[[\"from\",\"to\",\"is_fraud\"]].iterrows()}, \n", " \"label\")\n", "\n", " nx.set_edge_attributes(G, \n", " {(int(x[\"from\"]), int(x[\"to\"])):x[\"amt\"] for idx, x in df[[\"from\",\"to\",\"amt\"]].iterrows()}, \n", " \"weight\")\n", " return G" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, to each edge of the graph, we assign an (always positive) weight representing the amount (in US dollars) of the transaction. Since, in this case, we create a node for each transaction, we do not need to aggregate multiple transactions from a customer to a merchant. Moreover, as for the other approach, in our formalization, we allow both directed and undirected graphs. A graphical representation of the tripartite graph is visible below:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ 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)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def build_graph_tripartite(df_input, graph_type=nx.Graph()):\n", " df = df_input.copy()\n", " mapping = {x:node_id for node_id,x in enumerate(set(df.index.values.tolist() + \n", " df[\"cc_num\"].values.tolist() + \n", " df[\"merchant\"].values.tolist()))}\n", " df[\"in_node\"] = df[\"cc_num\"].apply(lambda x: mapping[x])\n", " df[\"out_node\"] = df[\"merchant\"].apply(lambda x: mapping[x])\n", "\n", " G = nx.from_edgelist([(x[\"in_node\"], mapping[idx]) for idx, x in df.iterrows()] +\n", " [(x[\"out_node\"], mapping[idx]) for idx, x in df.iterrows()], \n", " create_using=graph_type)\n", "\n", " nx.set_node_attributes(G,{x[\"in_node\"]:1 for idx,x in df.iterrows()}, \"bipartite\")\n", " nx.set_node_attributes(G,{x[\"out_node\"]:2 for idx,x in df.iterrows()}, \"bipartite\")\n", " nx.set_node_attributes(G,{mapping[idx]:3 for idx, x in df.iterrows()}, \"bipartite\")\n", "\n", " nx.set_edge_attributes(G,{(x[\"in_node\"], mapping[idx]):x[\"is_fraud\"] for idx, x in df.iterrows()}, \"label\")\n", " nx.set_edge_attributes(G,{(x[\"out_node\"], mapping[idx]):x[\"is_fraud\"] for idx, x in df.iterrows()}, \"label\")\n", "\n", " nx.set_edge_attributes(G,{(x[\"in_node\"], mapping[idx]):x[\"amt\"] for idx, x in df.iterrows()}, \"weight\")\n", " nx.set_edge_attributes(G,{(x[\"out_node\"], mapping[idx]):x[\"amt\"] for idx, x in df.iterrows()}, \"weight\")\n", " return G" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "G = build_graph_bipartite(df, nx.Graph())\n", "bipartite.is_bipartite(G)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plt.figure(figsize=(5,4))\n", "top = nx.bipartite.sets(G)[0]\n", "pos = nx.bipartite_layout(G, top)\n", "nx.draw(G, pos=pos, with_labels=False, node_color=default_node_color, edge_color=default_edge_color)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plt.axis(\"off\")\n", "plt.figure(figsize=(10,10))\n", "\n", "# spring_pos = nx.spring_layout(G)\n", "nx.draw_networkx(G, pos=spring_pos, node_color=default_node_color, \n", " edge_cmap=plt.cm.Blues, with_labels=False, node_size=15);" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "print(nx.info(G))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "degrees = pd.Series({k: v for k, v in nx.degree(G)})\n", "degrees.plot.hist()\n", "plt.yscale(\"log\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "allEdgesWeights = pd.Series({(d[0], d[1]): d[2][\"weight\"] for d in G.edges(data=True)})\n", "quant_dist = np.quantile(allEdgesWeights.values,[0.10,0.50,0.70,0.9])\n", "quant_dist" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "allEdgesWeightsFiltered = pd.Series({(d[0], d[1]): d[2][\"weight\"] for d in G.edges(data=True) \n", " if d[2][\"weight\"] < quant_dist[-1]})\n", "allEdgesWeightsFiltered.plot.hist(bins=40)\n", "plt.yscale(\"log\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# betweenness centrality\n", "bC = nx.betweenness_centrality(G)\n", "bc_distr = pd.Series(bC)\n", "bc_distr.plot.hist()\n", "plt.yscale(\"log\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# degree centrality\n", "deg_C = nx.degree_centrality(G)\n", "degc_distr = pd.Series(deg_C)\n", "degc_distr.plot.hist()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# closeness centrality\n", "clos_C = nx.closeness_centrality(G)\n", "closc_distr = pd.Series(clos_C)\n", "closc_distr.plot.hist()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# assortativity\n", "nx.degree_pearson_correlation_coefficient(G)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Community detection" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "parts = community_louvain.best_partition(G, random_state=42, weight='weight')\n", "communities = pd.Series(parts)\n", "communities.value_counts().sort_values(ascending=False)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "graphs = []\n", "d = {}\n", "for x in communities.unique():\n", " tmp = nx.subgraph(G, communities[communities==x].index)\n", " fraud_edges = sum(nx.get_edge_attributes(tmp, \"label\").values())\n", " ratio = 0 if fraud_edges == 0 else (fraud_edges/tmp.number_of_edges())*100\n", " d[x] = ratio\n", " graphs += [tmp]\n", "\n", "pd.Series(d).sort_values(ascending=False)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "gId = 10\n", "plt.figure(figsize=(10,10))\n", "spring_pos = nx.spring_layout(graphs[gId])\n", "plt.axis(\"off\")\n", "edge_colors = [\"r\" if x == 1 else \"g\" for x in nx.get_edge_attributes(graphs[gId], 'label').values()]\n", "nx.draw_networkx(graphs[gId], pos=spring_pos, node_color=default_node_color, \n", " edge_color=edge_colors, with_labels=False, node_size=15)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Supervised learning" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df_majority = df[df.is_fraud==0]\n", "df_minority = df[df.is_fraud==1]\n", "\n", "df_maj_dowsampled = resample(df_majority,\n", " n_samples=len(df_minority),\n", " random_state=42)\n", "\n", "df_downsampled = pd.concat([df_minority, df_maj_dowsampled])\n", "\n", "print(df_downsampled.is_fraud.value_counts())\n", "G_down = build_graph_bipartite(df_downsampled)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "train_edges, test_edges, train_labels, test_labels = train_test_split(list(range(len(G_down.edges))), \n", " list(nx.get_edge_attributes(G_down, \"label\").values()), \n", " test_size=0.20, \n", " random_state=42)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "edgs = list(G_down.edges)\n", "train_graph = G_down.edge_subgraph([edgs[x] for x in train_edges]).copy()\n", "train_graph.add_nodes_from(list(set(G_down.nodes) - set(train_graph.nodes)))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "node2vec_train = Node2Vec(train_graph, weight_key='weight')\n", "model_train = node2vec_train.fit(window=10)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "classes = [HadamardEmbedder, AverageEmbedder, WeightedL1Embedder, WeightedL2Embedder]\n", "for cl in classes:\n", " embeddings_train = cl(keyed_vectors=model_train.wv) \n", "\n", " train_embeddings = [embeddings_train[str(edgs[x][0]), str(edgs[x][1])] for x in train_edges]\n", " test_embeddings = [embeddings_train[str(edgs[x][0]), str(edgs[x][1])] for x in test_edges]\n", " \n", " rf = RandomForestClassifier(n_estimators=1000, random_state=42) \n", " rf.fit(train_embeddings, train_labels); \n", "\n", " y_pred = rf.predict(test_embeddings)\n", " print(cl)\n", " print('Precision:', metrics.precision_score(test_labels, y_pred)) \n", " print('Recall:', metrics.recall_score(test_labels, y_pred)) \n", " print('F1-Score:', metrics.f1_score(test_labels, y_pred)) \n", " print('\\n{}\\n'.format('='*100))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unsupervised learning" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "nod2vec_unsup = Node2Vec(G_down, weight_key='weight')\n", "unsup_vals = nod2vec_unsup.fit(window=10)\n", "\n", "classes = [HadamardEmbedder, AverageEmbedder, WeightedL1Embedder, WeightedL2Embedder]\n", "true_labels = [x for x in nx.get_edge_attributes(G_down, \"label\").values()]\n", "\n", "for cl in classes:\n", " embedding_edge = cl(keyed_vectors=unsup_vals.wv) \n", "\n", " embedding = [embedding_edge[str(x[0]), str(x[1])] for x in G_down.edges()]\n", " kmeans = KMeans(2, random_state=42).fit(embedding)\n", " \n", " \n", " nmi = metrics.adjusted_mutual_info_score(true_labels, kmeans.labels_)\n", " ho = metrics.homogeneity_score(true_labels, kmeans.labels_)\n", " co = metrics.completeness_score(true_labels, kmeans.labels_)\n", " vmeasure = metrics.v_measure_score(true_labels, kmeans.labels_)\n", " \n", " print(cl)\n", " print('NMI:', nmi)\n", " print('Homogeneity:', ho)\n", " print('Completeness:', co)\n", " print('V-Measure:', vmeasure)\n", " print('\\n{}\\n'.format('='*100))" ] } ], "metadata": { "colab": { "authorship_tag": "ABX9TyOOok81mzcrbqq82uAC7kVF", "collapsed_sections": [], "mount_file_id": "1KPmW54XEyFqM45rD7kp9mzengLpYizo5", "name": 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