Deep graph representation learning: methods, applications, and challenges
Graph representation learning has emerged as a crucial research area in recent years, aiming to generate vector representations that accurately capture the structure and features of graphs. These vectors play a vital role in downstream tasks such as node classification, link prediction, and anomaly...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2025-01-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails?columnId=109257984&Fpath=home&index=0 |
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