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Initialization for Network Embedding: A Graph Partition Approach
v1v2v3v4 (latest)

Initialization for Network Embedding: A Graph Partition Approach

Web Search and Data Mining (WSDM), 2019
28 August 2019
Wenqing Lin
Feng He
Faqiang Zhang
Feng He
Hongyun Cai
    GNN
ArXiv (abs)PDFHTML

Papers citing "Initialization for Network Embedding: A Graph Partition Approach"

10 / 10 papers shown
Heterogeneous Influence Maximization in User Recommendation
Heterogeneous Influence Maximization in User Recommendation
Hongru Hou
Jiachen Sun
Wenqing Lin
Wendong Bi
Xiangrong Wang
Deqing Yang
145
1
0
19 Aug 2025
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
FROG: Effective Friend Recommendation in Online Games via Modality-aware User PreferencesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Qiwei Wang
Dandan Lin
Wenqing Lin
Ziming Wu
OffRL
474
1
0
13 Apr 2025
Link Prediction with Untrained Message Passing Layers
Link Prediction with Untrained Message Passing Layers
Lisi Qarkaxhija
Anatol E. Wegner
Ingo Scholtes
391
2
0
24 Jun 2024
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge TransferInternational Conference on Information and Knowledge Management (CIKM), 2023
Wendong Bi
Xueqi Cheng
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
249
15
0
18 Aug 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph
  Neural Network
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural NetworkThe Web Conference (WWW), 2023
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
Xueqi Cheng
445
19
0
02 Feb 2023
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood
  Feature Distribution
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature DistributionWeb Search and Data Mining (WSDM), 2022
Wendong Bi
Lun Du
Qiang Fu
Yanlin Wang
Shi Han
Dongmei Zhang
GNN
197
26
0
15 Aug 2022
Learning node embeddings via summary graphs: a brief theoretical
  analysis
Learning node embeddings via summary graphs: a brief theoretical analysis
Houquan Zhou
Shenghua Liu
Danai Koutra
Huawei Shen
Xueqi Cheng
109
0
0
04 Jul 2022
Large-Scale Network Embedding in Apache Spark
Large-Scale Network Embedding in Apache SparkKnowledge Discovery and Data Mining (KDD), 2021
Wenqing Lin
GNN
279
21
0
20 Jun 2021
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic
  Graph
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Yadan Luo
Zi Huang
Hongxu Chen
Yang Yang
Mahsa Baktash
244
16
0
25 Nov 2020
GraphZoom: A multi-level spectral approach for accurate and scalable
  graph embedding
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingInternational Conference on Learning Representations (ICLR), 2019
Chenhui Deng
Zhiqiang Zhao
Yongyu Wang
Zhiru Zhang
Zhuo Feng
344
117
0
06 Oct 2019
1
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