Learning Causal Effects on Hypergraphs

Learning Causal Effects on Hypergraphs

7 July 2022

Papers citing "Learning Causal Effects on Hypergraphs"

18 / 18 papers shown

Title
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification Kaize Ding Jianling Wang Jundong Li Dingcheng Li Huan Liu GNN 41 209 0 01 Nov 2020
Minimizing Interference and Selection Bias in Network Experiment Design Zahra Fatemi Elena Zheleva CML 29 20 0 15 Apr 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 46 41 0 20 Feb 2020
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction Se-eun Yoon Hyungseok Song Kijung Shin Yung Yi 33 78 0 30 Jan 2020
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs Ruochi Zhang Yuesong Zou Jian Ma GNN 109 194 0 06 Nov 2019
Causal Inference Under Interference And Network Uncertainty Rohit Bhattacharya Daniel Malinsky I. Shpitser CML 33 64 0 29 Jun 2019
Learning Individual Causal Effects from Networked Observational Data Ruocheng Guo Wenlin Yao Huan Liu CML OOD 44 98 0 08 Jun 2019
Fine-Grained Spoiler Detection from Large-Scale Review Corpora Mengting Wan Rishabh Misra Ndapandula Nakashole Julian McAuley 42 132 0 31 May 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 69 624 0 23 Jan 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 185 1,634 0 04 Oct 2018
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 78 1,371 0 25 Sep 2018
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs N. Yadati M. Nimishakavi Prateek Yadav Vikram Nitin Anand Louis Partha P. Talukdar GNN 117 37 0 07 Sep 2018
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects Vineeth Rakesh Ruocheng Guo Raha Moraffah Nitin Agarwal Huan Liu CML BDL 56 44 0 09 Aug 2018
Simplicial Closure and higher-order link prediction Austin R. Benson Rediet Abebe Michael T. Schaub Ali Jadbabaie Jon M. Kleinberg AI4CE 39 494 0 20 Feb 2018
Artificial Intelligence and Statistics Bin Yu Karl Kumbier 47 164 0 08 Dec 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 194 741 0 24 May 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 591 28,999 0 09 Sep 2016
Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment P. Aronow Cyrus Samii CML 65 254 0 27 May 2013