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researcher

Hao Ma

Facebook AI

12 papers hereh-index 3812.8k citations179 works total

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

author position
  • sole author1
  • first author1
  • middle author9

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.SI3
  • cs.DL2
  • cs.RO2
  • cs.AI1
  • cs.CL1
  • cs.LG1
affiliations
  • Facebook AI
  • Microsoft Research
  • The Chinese University of Hong Kong
Homepage
same name
  • Hao Ma — 33 papers, h 15
  • Hao Ma — 22 papers
  • Hao Ma — 17 papers, h 12
  • Hao Ma — 14 papers, h 6
  • Hao Ma — 9 papers, h 6
  • Hao Ma — 8 papers, h 4

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
20172025
most citedNetwork Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

722 citations · 1.7k across the 12 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.SI2018★ 562 cited

DeepInf: Social Influence Prediction with Deep Learning

Jiezhong Qiu, Jian Tang, Hao Ma +3

Social and information networking activities such as on Facebook, Twitter, WeChat, and Weibo have become an indispensable part of our everyday life, where we can easily access frie…

cs.DL2018★ 14 cited

Collaboration Diversity and Scientific Impact

Yuxiao Dong, Hao Ma, Jie Tang +1

The shift from individual effort to collaborative output has benefited science, with scientific work pursued collaboratively having increasingly led to more highly impactful resear…

cs.CL2018★ 17 cited

A Web-scale system for scientific knowledge exploration

Zhihong Shen, Hao Ma, Kuansan Wang

To enable efficient exploration of Web-scale scientific knowledge, it is necessary to organize scientific publications into a hierarchical concept structure. In this work, we prese…

cs.LG2018★ 254 cited

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Jiani Zhang, Xingjian Shi, Junyuan Xie +3

We propose a new network architecture, Gated Attention Networks (GaAN), for learning on graphs. Unlike the traditional multi-head attention mechanism, which equally consumes all at…

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