Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks-Reference-Cited by-同舟云学术

Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
language:
Short-container-title:

Author:

Yang Carl¹,Han Jiawei²

Affiliation:

1. Emory University,Department of Computer Science,Atlanta,United States

2. University of Illinois, Urbana Champaign,Department of Computer Science,Urbana,United States

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184723.pdf?arnumber=10184723

Reference58 articles.

1. Heterogeneous Graph Transformer

2. Neural Embedding Propagation on Heterogeneous Networks

3. Modeling relational data with graph convolutional networks;schlichtkrull;Proceedings of the European Semantic Web Conference (ESWC),2018

4. Similarity modeling on heterogeneous networks via automatic path discovery;yang;Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD),2018

5. Heterogeneous Graph Attention Network

Cited by 7 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. ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact Prediction;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Clustering on heterogeneous IoT information network based on meta path;Science Progress;2024-04

5. GPL-GNN: Graph prompt learning for graph neural network;Knowledge-Based Systems;2024-02