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Ming Zhang

8 papers hereh-index 10955 citations16 works total

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

author position
  • middle author4
  • last author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.IR2
  • cs.AI1
  • cs.CL1
same name
  • Ming Zhang — 43 papers, h 17
  • Ming Zhang — 35 papers, h 11
  • Ming Zhang — 34 papers, h 21
  • Ming Zhang — 22 papers, h 38
  • Ming Zhang — 13 papers, h 2
  • Ming Zhang — 13 papers, h 5

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
20212023
most citedA Comprehensive Survey on Deep Graph Representation Learning

337 citations · 512 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CL2022

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion

Jianhao Shen, Chenguang Wang, Ye Yuan +5

This paper presents a parameter-lite transfer learning approach of pretrained language models (LM) for knowledge graph (KG) completion. Instead of finetuning, which modifies all LM…

cs.IR2022★ 89 cited

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation

Yifang Qin, Yifan Wang, Fang Sun +6

Point-of-Interest (POI) recommendation plays a vital role in various location-aware services. It has been observed that POI recommendation is driven by both sequential and geograph…

cs.LG2022

GLCC: A General Framework for Graph-Level Clustering

Wei Ju, Yiyang Gu, Binqi Chen +5

This paper studies the problem of graph-level clustering, which is a novel yet challenging task. This problem is critical in a variety of real-world applications such as protein cl…

cs.AI2022★ 10 cited

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Zhaocheng Zhu, Xinyu Yuan, Mikhail Galkin +4

Reasoning on large-scale knowledge graphs has been long dominated by embedding methods. While path-based methods possess the inductive capacity that embeddings lack, their scalabil…

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