Friend Recommendations with Self-Rescaling Graph Neural Networks-Reference-Cited by-同舟云学术

Friend Recommendations with Self-Rescaling Graph Neural Networks

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Song Xiran¹,Lian Jianxun²,Huang Hong¹,Wu Mingqi³,Jin Hai¹,Xie Xing²

Affiliation:

1. Huazhong University of Science and Technology, Wuhan, China

2. Microsoft Research Asia, Beijing, China

3. Microsoft Gaming, Redmond, WA, USA

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539192

Reference30 articles.

1. Friends and neighbors on the Web

2. Reid Andersen , Fan R. K. Chung , and Kevin J. Lang . 2006. Local Graph Partitioning using PageRank Vectors . In Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06) . 475--486. Reid Andersen, Fan R. K. Chung, and Kevin J. Lang. 2006. Local Graph Partitioning using PageRank Vectors. In Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06). 475--486.

3. Local approximation of pagerank and reverse pagerank

4. Beyond Low-frequency Information in Graph Convolutional Networks

5. Scaling Graph Neural Networks with Approximate PageRank

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Preference-Guided Based Disentangled Graph Social Recommendation;IEEE Transactions on Network Science and Engineering;2024-09

2. Enhanced Self-supervised Graph Learning Algorithm for Social Recommendation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Top-$L$ Most Influential Community Detection Over Social Networks;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. A Survey on Graph Representation Learning Methods;ACM Transactions on Intelligent Systems and Technology;2024-01-16

5. Carec: Cellular Automata for Dynamic Graph Neural Network Recommendation;2024