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Tong Chen

59 papers hereh-index 396.4k citations87 works total

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

author position
  • first author7
  • middle author50
  • last author1

Across the 58 of 59 papers where every author was matched, so the position is known.

fields
  • cs.IR33
  • cs.LG15
  • cs.AI3
  • cs.CL3
  • cs.SI3
  • cs.DC1
same name
  • Tong Chen — 33 papers, h 6
  • Tong Chen — 22 papers, h 14
  • Tong Chen — 21 papers, h 10
  • Tong Chen — 13 papers, h 16
  • Tong Chen — 13 papers, h 6
  • Tong Chen — 9 papers, h 3

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

activity
20172024
most citedLightweight Self-Attentive Sequential Recommendation

111 citations · 590 across the 53 of their papers we have counts for

collaborators
Showing 2022 · cs.LGShow all

4 papers · 2 filters

cs.LG2022★ 3 cited

Self-supervised Graph-based Point-of-interest Recommendation

Yang Li, Tong Chen, Peng-Fei Zhang +2

The exponential growth of Location-based Social Networks (LBSNs) has greatly stimulated the demand for precise location-based recommendation services. Next Point-of-Interest (POI)…

cs.LG2022

Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution

Yu Yang, Hongzhi Yin, Jiannong Cao +4

Dynamic graphs refer to graphs whose structure dynamically changes over time. Despite the benefits of learning vertex representations (i.e., embeddings) for dynamic graphs, existin…

cs.LG2022

Spatial-Temporal Meta-path Guided Explainable Crime Prediction

Yuting Sun, Tong Chen, Hongzhi Yin

Exposure to crime and violence can harm individuals' quality of life and the economic growth of communities. In light of the rapid development in machine learning, there is a rise…

cs.LG2022★ 1 cited

DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks

Mubashir Imran, Hongzhi Yin, Tong Chen +2

Modeling heterogeneity by extraction and exploitation of high-order information from heterogeneous information networks (HINs) has been attracting immense research attention in rec…

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