{"id":62036,"date":"2025-04-07T07:56:04","date_gmt":"2025-04-07T07:56:04","guid":{"rendered":""},"modified":"2025-04-07T07:56:04","modified_gmt":"2025-04-07T07:56:04","slug":"%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-62036","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-62036\/","title":{"rendered":"\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u0641\u062f\u0631\u0627\u0644 \u0628\u0627 \u062a\u0631\u0627\u0632 \u067e\u0631\u0648\u06a9\u0633\u06cc \u0633\u0627\u062e\u062a\u0627\u0631"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nFederated Graph Learning with Structure Proxy Alignment<\/td>\n<\/tr>\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u0641\u062f\u0631\u0627\u0644 \u0628\u0627 \u062a\u0631\u0627\u0632 \u067e\u0631\u0648\u06a9\u0633\u06cc \u0633\u0627\u062e\u062a\u0627\u0631<\/td>\n<\/tr>\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\nXingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nPDF<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u062a\u062d\u0648\u06cc\u0644\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 <\/td>\n\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\n<\/tr>\n
\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 <\/td>\n\u062f\u0648 \u062a\u0627 \u0633\u0647 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 (\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc)<\/td>\n<\/tr>\n
\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n12<\/td>\n<\/tr>\n
\u0644\u06cc\u0646\u06a9 \u062f\u0627\u0646\u0644\u0648\u062f \u0631\u0627\u06cc\u06af\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647<\/a><\/td>\n<\/tr>\n
\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a <\/td>\nMachine Learning,Artificial Intelligence,Distributed, Parallel, and Cluster Computing,\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 , \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc , \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647 , \u0645\u0648\u0627\u0632\u06cc \u0648 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u062e\u0648\u0634\u0647 \u0627\u06cc ,<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a <\/td>\nSubmitted 18 August, 2024; originally announced August 2024. , Comments: Accepted by KDD 2024<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u062f\u0631 18 \u0627\u0648\u062a 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0627\u0648\u062a 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f \u060c \u0646\u0638\u0631\u0627\u062a: \u067e\u0630\u06cc\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 KDD 2024<\/td>\n<\/tr>\n
\u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u062f\u0631 \u067e\u0627\u06cc\u06af\u0627\u0647 \u0647\u0627\u06cc \u0639\u0644\u0645\u06cc <\/td>\n\n INSPIRE HEP<\/a>
\n
\n NASA ADS<\/a>
\n
\n Google Scholar<\/a>
\n
\n Semantic Scholar<\/a>
\n
\n arXiv<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n

\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n

Federated Graph Learning (FGL) aims to learn graph learning models over graph data distributed in multiple data owners, which has been applied in various applications such as social recommendation and financial fraud detection. Inherited from generic Federated Learning (FL), FGL similarly has the data heterogeneity issue where the label distribution may vary significantly for distributed graph data across clients. For instance, a client can have the majority of nodes from a class, while another client may have only a few nodes from the same class. This issue results in divergent local objectives and impairs FGL convergence for node-level tasks, especially for node classification. Moreover, FGL also encounters a unique challenge for the node classification task: the nodes from a minority class in a client are more likely to have biased neighboring information, which prevents FGL from learning expressive node embeddings with Graph Neural Networks (GNNs). To grapple with the challenge, we propose FedSpray, a novel FGL framework that learns local class-wise structure proxies in the latent space and aligns them to obtain global structure proxies in the server. Our goal is to obtain the aligned structure proxies that can serve as reliable, unbiased neighboring information for node classification. To achieve this, FedSpray trains a global feature-structure encoder and generates unbiased soft targets with structure proxies to regularize local training of GNN models in a personalized way. We conduct extensive experiments over four datasets, and experiment results validate the superiority of FedSpray compared with other baselines. Our code is available at https:\/\/github.com\/xbfu\/FedSpray.<\/p>\n

\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n

\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u0641\u062f\u0631\u0627\u0644 (FGL) \u0628\u0627 \u0647\u062f\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0631 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647 \u062f\u0631 \u0645\u062a\u0639\u062f\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u06a9\u0647 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0627\u0646\u0646\u062f \u062a\u0648\u0635\u06cc\u0647 \u0647\u0627\u06cc \u0627\u062c\u062a\u0645\u0627\u0639\u06cc \u0648 \u062a\u0634\u062e\u06cc\u0635 \u06a9\u0644\u0627\u0647\u0628\u0631\u062f\u0627\u0631\u06cc \u0645\u0627\u0644\u06cc \u0627\u0639\u0645\u0627\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a.FGL \u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0641\u062f\u0631\u0627\u0633\u06cc\u0648\u0646 \u0639\u0645\u0648\u0645\u06cc (FL) \u0628\u0647 \u0627\u0631\u062b \u0631\u0633\u06cc\u062f\u0647 \u0627\u0633\u062a \u060c \u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647 \u0645\u0633\u0626\u0644\u0647 \u0646\u0627\u0647\u0645\u06af\u0648\u0646\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0627\u0631\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u062a\u0648\u0632\u06cc\u0639 \u0628\u0631\u0686\u0633\u0628 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647 \u062f\u0631 \u0628\u06cc\u0646 \u0645\u0634\u062a\u0631\u06cc \u0647\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0628\u0627\u0634\u062f.\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u060c \u0645\u0634\u062a\u0631\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0627\u06a9\u062b\u0631 \u06af\u0631\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u06cc\u06a9 \u06a9\u0644\u0627\u0633 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f \u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0645\u0634\u062a\u0631\u06cc \u062f\u06cc\u06af\u0631\u06cc \u0641\u0642\u0637 \u0686\u0646\u062f \u06af\u0631\u0647 \u0627\u0632 \u0647\u0645\u0627\u0646 \u06a9\u0644\u0627\u0633 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.\u0627\u06cc\u0646 \u0645\u0633\u0626\u0644\u0647 \u0645\u0646\u062c\u0631 \u0628\u0647 \u0627\u0647\u062f\u0627\u0641 \u0645\u062d\u0644\u06cc \u0648\u0627\u06af\u0631\u0627 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0647\u0645\u06af\u0631\u0627\u06cc\u06cc FGL \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u0633\u0637\u062d \u06af\u0631\u0647 \u060c \u0628\u0647 \u0648\u06cc\u0698\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06af\u0631\u0647 \u060c \u0645\u062e\u062a\u0644 \u0645\u06cc \u06a9\u0646\u062f.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c FGL \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0627 \u06cc\u06a9 \u0686\u0627\u0644\u0634 \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06af\u0631\u0647 \u0631\u0648\u0628\u0631\u0648 \u0645\u06cc \u0634\u0648\u062f: \u06af\u0631\u0647 \u0647\u0627\u06cc \u06cc\u06a9 \u06a9\u0644\u0627\u0633 \u0627\u0642\u0644\u06cc\u062a \u062f\u0631 \u0645\u0634\u062a\u0631\u06cc \u0628\u0647 \u0627\u062d\u062a\u0645\u0627\u0644 \u0632\u06cc\u0627\u062f \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0647\u0645\u0633\u0627\u06cc\u0647 \u0645\u063a\u0631\u0636\u0627\u0646\u0647 \u0627\u06cc \u062f\u0627\u0631\u0646\u062f \u060c \u06a9\u0647 \u0645\u0627\u0646\u0639 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc FGL \u0627\u0632 \u062a\u0639\u0628\u06cc\u0647 \u06af\u0631\u0647 \u0647\u0627\u06cc \u0628\u06cc\u0627\u0646\u06cc \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 (GNN) \u0645\u06cc \u0634\u0648\u062f.\u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u0628\u0644\u0647 \u0628\u0627 \u0627\u06cc\u0646 \u0686\u0627\u0644\u0634 \u060c \u0645\u0627 Fedspray \u0631\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u060c \u06cc\u06a9 \u0686\u0627\u0631\u0686\u0648\u0628 \u062c\u062f\u06cc\u062f FGL \u06a9\u0647 \u067e\u0631\u0648\u06a9\u0633\u06cc \u0647\u0627\u06cc \u0633\u0627\u062e\u062a\u0627\u0631 \u06a9\u0644\u0627\u0633 \u0645\u062d\u0644\u06cc \u0631\u0627 \u062f\u0631 \u0641\u0636\u0627\u06cc \u0646\u0647\u0641\u062a\u0647 \u0645\u06cc \u0622\u0645\u0648\u0632\u062f \u0648 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u067e\u0631\u0648\u06a9\u0633\u06cc \u0647\u0627\u06cc \u0633\u0627\u062e\u062a\u0627\u0631 \u062c\u0647\u0627\u0646\u06cc \u062f\u0631 \u0633\u0631\u0648\u0631 \u062a\u0631\u0627\u0632 \u0645\u06cc \u06a9\u0646\u062f.\u0647\u062f\u0641 \u0645\u0627 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u067e\u0631\u0648\u06a9\u0633\u06cc \u0647\u0627\u06cc \u0633\u0627\u062e\u062a\u0627\u0631 \u062a\u0631\u0627\u0632 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0647\u0645\u0633\u0627\u06cc\u0647 \u0642\u0627\u0628\u0644 \u0627\u0639\u062a\u0645\u0627\u062f \u0648 \u0628\u06cc \u0637\u0631\u0641\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06af\u0631\u0647 \u062e\u062f\u0645\u062a \u06a9\u0646\u0646\u062f.\u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u06cc\u0627\u0628\u06cc \u0628\u0647 \u0627\u06cc\u0646 \u0647\u062f\u0641 \u060c Fedspray \u06cc\u06a9 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062c\u0647\u0627\u0646\u06cc \u0633\u0627\u062e\u062a\u0627\u0631 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u062f \u0648 \u0627\u0647\u062f\u0627\u0641 \u0646\u0631\u0645 \u0648 \u0628\u06cc \u0637\u0631\u0641\u0627\u0646\u0647 \u0627\u06cc \u0631\u0627 \u0628\u0627 \u067e\u0631\u0648\u06a9\u0633\u06cc \u0647\u0627\u06cc \u0633\u0627\u062e\u062a\u0627\u0631 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0646\u0638\u0645 \u0622\u0645\u0648\u0632\u0634 \u0647\u0627\u06cc \u0645\u062d\u0644\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc GNN \u0631\u0627 \u0628\u0647 \u0631\u0648\u0634\u06cc \u0634\u062e\u0635\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f.\u0645\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0647\u0627\u06cc \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0631\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u0686\u0647\u0627\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u060c \u0648 \u0646\u062a\u0627\u06cc\u062c \u0622\u0632\u0645\u0627\u06cc\u0634 \u060c \u0628\u0631\u062a\u0631\u06cc FEDSPRAY \u0631\u0627 \u062f\u0631 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u0633\u0627\u06cc\u0631 \u062e\u0637\u0648\u0637 \u062a\u0623\u06cc\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f.\u06a9\u062f \u0645\u0627 \u062f\u0631 https:\/\/github.com\/xbfu\/fedspray \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a.<\/p>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n","protected":false},"excerpt":{"rendered":"

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