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Chun Chen

4 papers hereh-index 7210 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR2
  • cs.LG2
same name
  • Chun Chen — 30 papers, h 19
  • Chun Chen — 13 papers, h 7
  • Chun Chen — 8 papers, h 4
  • Chun Chen — 7 papers, h 6
  • Chun Chen — 6 papers, h 0
  • Chun Chen — 5 papers, h 59

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTransition Propagation Graph Neural Networks for Temporal Networks

20 citations · 40 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023

Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength

Tongya Zheng, Tianli Zhang, Qingzheng Guan +4

Graph Neural Networks have emerged as an effective machine learning tool for multi-disciplinary tasks such as pharmaceutical molecule classification and chemical reaction predictio…

cs.LG2023★ 20 cited

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation

Tongya Zheng, Xinchao Wang, Zunlei Feng +6

Temporal graphs exhibit dynamic interactions between nodes over continuous time, whose topologies evolve with time elapsing. The whole temporal neighborhood of nodes reveals the va…

cs.IR2023★ 20 cited

Transition Propagation Graph Neural Networks for Temporal Networks

Tongya Zheng, Zunlei Feng, Tianli Zhang +6

Researchers of temporal networks (e.g., social networks and transaction networks) have been interested in mining dynamic patterns of nodes from their diverse interactions. Inspired…

cs.IR2021

Learning Dynamic Preference Structure Embedding From Temporal Networks

Tongya Zheng, Zunlei Feng, Yu Wang +6

The dynamics of temporal networks lie in the continuous interactions between nodes, which exhibit the dynamic node preferences with time elapsing. The challenges of mining temporal…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.