WebJul 9, 2024 · This model introduces the Graph Neural Network (GNN) to represent the community network, and also introduces the idea of self-supervised learning to continuously optimize the results. At the same time, the optimization scheme and training tricks are proposed to improve its performance. The experimental results show that the … WebSep 8, 2024 · DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion. Abstract: Recently, many knowledge graph embedding models for knowledge graph …
GitHub - FDUDSDE/CommDGI: Code for CIKM 20 paper …
WebSep 8, 2024 · Recently, many knowledge graph embedding models for knowledge graph completion have been proposed, ranging from the initial translation-based models such as TransE to recent convolutional neural network (CNN) models such as ConvE. However, these models only focus on semantic information of knowledge graph and neglect the … WebFeb 15, 2024 · HDMI: High-order Deep Multiplex Infomax. Networks have been widely used to represent the relations between objects such as academic networks and social networks, and learning embedding for networks has thus garnered plenty of research attention. Self-supervised network representation learning aims at extracting node … sims 4 bedroom sets maxis match
Graph Community Infomax - ACM Transactions on Knowledge …
WebJin Di, Ge Meng, Zhixuan Li, Wenhuan Lu, and Francoise Fogelman-Soulie. 2024. Using deep learning for community discovery in social networks. In Proceedings of the IEEE 29th International Conference on Tools with Artificial Intelligence. Google Scholar; Santo Fortunato. 2010. Community detection in graphs. Physics Reports 486, 3--5 (2010), 75- … WebTianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, and Yangyong Zhu. 2024 b. CommDGI: Community Detection Oriented Deep Graph Infomax. In CIKM. Google Scholar; Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, and Philip S. Yu. 2024 a. SEAL: Learning Heuristics for Community Detection with … WebWe present Deep Graph Infomax (DGI), a general approach for learning node representations within graph-structured data in an unsupervised manner. DGI relies on … sims 4 bed glitch