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Meng‐Lin Yang

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.LG2
  • cs.AI1
  • cs.IR1
ORCID 0000-0003-2510-5282

identity via Semantic Scholar / OpenAlex

most citedHRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization

74 citations · 90 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2022★ 74 cited

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization

Menglin Yang, Min Zhou, Jiahong Liu +2

In large-scale recommender systems, the user-item networks are generally scale-free or expand exponentially. The latent features (also known as embeddings) used to describe the use…

cs.AI2022

Discovering Representative Attribute-stars via Minimum Description Length

Jiahong Liu, Min Zhou, Philippe Fournier-Viger +3

Graphs are a popular data type found in many domains. Numerous techniques have been proposed to find interesting patterns in graphs to help understand the data and support decision…

cs.LG2022★ 9 cited

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction

Bisheng Li, Min Zhou, Shengzhong Zhang +3

Given the ubiquitous existence of graph-structured data, learning the representations of nodes for the downstream tasks ranging from node classification, link prediction to graph c…

cs.LG2022★ 7 cited

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning

Jiahong Liu, Menglin Yang, Min Zhou +2

Recently, hyperbolic space has risen as a promising alternative for semi-supervised graph representation learning. Many efforts have been made to design hyperbolic versions of neur…

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