atlas

Research map / Graph learning / Graph self-supervised learning

An Attention-Based Graph Neural Network for Heterogeneous Structural Learning

AAAI 2020 · Graph learning › Graph self-supervised learning · approach: Semi-supervised node representation learning · 235 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use HetSANN's type-aware attention over raw heterogeneous links instead of the strongest baselineHetSANN · IMDB movieMicro F1: 67.13 -> 73.86Helped
Use HetSANN's type-aware attention over raw heterogeneous links instead of the strongest baselineHetSANN · DBLP authorMicro F1: 92.71 -> 95.63Helped
Use HetSANN rather than the strongest baselineHetSANN · DBLP paperMicro F1: 100.00 -> 98.69Hurt
Use HetSANN's type-aware attention over raw heterogeneous links instead of the strongest baselineHetSANN · AMiner authorMicro F1: 86.86 -> 92.47Helped
Use HetSANN's type-aware attention over raw heterogeneous links instead of the strongest baselineHetSANN · AMiner paperMicro F1: 91.47 -> 93.73Helped
Add multi-task learning with paper classification as an auxiliary task (ablation)HetSANN · AMiner authorMicro F1: 86.97 -> 91.55Helped
Add multi-task learning with author classification as an auxiliary task (ablation)HetSANN · AMiner paperMicro F1: 91.20 -> 92.56Helped
Add multi-task learning with paper classification as an auxiliary task (ablation)HetSANN · DBLP authorMicro F1: 94.89 -> 95.43Helped
Add multi-task learning with author classification as an auxiliary task (ablation)HetSANN · DBLP paperMicro F1: 99.72 -> 99.08Hurt
Replace concat-product scoring with voices-sharing product (ablation)HetSANN.$M$ · DBLP authorMicro F1: 95.43 -> 95.51Helped
Replace concat-product scoring with voices-sharing product (ablation)HetSANN.$M$ · AMiner authorMicro F1: 91.55 -> 92.43Helped
Replace concat-product scoring with voices-sharing product (ablation)HetSANN.$M$ · AMiner paperMicro F1: 92.56 -> 93.75Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy