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Zeyang Zhang

Tsinghua University

19 papers hereh-index 16745 citations46 works total

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

author position
  • first author8
  • middle author10

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • cs.CV3
  • cs.CL2
affiliations
  • Tsinghua University
Homepage
same name
  • Zeyang Zhang — 6 papers, h 4
  • Zeyang Zhang — 5 papers, h 7
  • Zeyang Zhang — 2 papers, h 1
  • Zeyang Zhang — 1 paper, h 4
  • Zeyang Zhang — 1 paper, h 2
  • Zeyang Zhang — 1 paper, h 1

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
20212026
most citedAutoGL: A Library for Automated Graph Learning

12 citations · 51 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction

Zeyang Zhang, Xingwang Li, Fei Teng +4

Human albumin is essential for indicating the body's overall health. Accurately predicting plasma albumin levels and determining appropriate doses are urgent clinical challenges, p…

cs.LG2023

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion

Zeyang Zhang, Xin Wang, Ziwei Zhang +2

Dynamic graph neural networks (DyGNNs) have demonstrated powerful predictive abilities by exploiting graph structural and temporal dynamics. However, the existing DyGNNs fail to ha…

cs.LG2023★ 1 cited

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?

Zeyang Zhang, Xin Wang, Ziwei Zhang +3

In an era marked by the increasing adoption of Large Language Models (LLMs) for various tasks, there is a growing focus on exploring LLMs' capabilities in handling web data, partic…

cs.LG2023★ 2 cited

Graph Meets LLMs: Towards Large Graph Models

Ziwei Zhang, Haoyang Li, Zeyang Zhang +3

Large models have emerged as the most recent groundbreaking achievements in artificial intelligence, and particularly machine learning. However, when it comes to graphs, large mode…

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