Towards Human-like Perception: Learning Structural Causal Model in
Heterogeneous Graph

Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph

10 December 2023

Tianqianjin Lin

Changlong Sun

Xiaozhong Liu

Papers citing "Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph"

8 / 8 papers shown

Title
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Mingyu Yan Shirui Pan Xiaochun Ye Dongrui Fan 37 120 0 06 Jul 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift Hongrui Liu Binbin Hu Xiao Wang Chuan Shi Zhiqiang Zhang Jun Zhou 90 52 0 27 Jan 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 21 71 0 06 Dec 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 156 463 0 31 Dec 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong G. Li Mucong Ding Zuxuan Wu Chen Zhu Bernard Ghanem Gavin Taylor Tom Goldstein 87 63 0 19 Oct 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 40 60 0 18 Oct 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 167 1,157 0 03 Mar 2020
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 90 254 0 29 Sep 2019