共 50 条
- [41] A simple and effective convolutional operator for node classification without features by graph convolutional networks PLOS ONE, 2024, 19 (04):
- [42] Evaluation method for node importance based on attraction between nodes INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2018, 29 (12):
- [43] Network Node Completion Based on Graph Convolutional Network Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, 2021, 34 (06): : 532 - 540
- [44] Aspect-Based Sentiment Analysis via Virtual Node Augmented Graph Convolutional Networks PRICAI 2022: TRENDS IN ARTIFICIAL INTELLIGENCE, PT II, 2022, 13630 : 211 - 223
- [45] Enhanced Self-node Weights Based Graph Convolutional Networks for Passenger Flow Prediction KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT III, 2021, 12817 : 262 - 274
- [46] Evaluation of Node Importance Based on Topological Potential in Weighted Complex Networks FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS, 2012, 8349
- [47] Node Importance Evaluation Based on Triangle Module for Optical Mesh Networks 2011 7TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM), 2011,
- [49] Method for measuring node importance in complex networks based on local characteristics INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2021, 35 (22):