Hang Yang

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All published works

Action	Title	Year	Authors
+	Local and Global Results for Shape optimization problems with weighted source	2023	Qinfeng Li Hang Yang
+ PDF Chat	High-level synthesis performance prediction using GNNs	2022	Nan Wu Hang Yang Yuan Xie Li Pan Cong Hao
+	Control Variate Polynomial Chaos: Optimal Fusion of Sampling and Surrogates for Multifidelity Uncertainty Quantification	2022	Hang Yang Yuji Fujii K. W. Wang Alex Gorodetsky
+	Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation	2022	Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li

Common Coauthors

Coauthor	Papers Together
Cong Hao	2
Nan Wu	1
K. W. Wang	1
Nan Wu	1
Yuan Xie	1
Haoyu Wang	1
Pan Li	1
Li Pan	1
Qinfeng Li	1
Alex Gorodetsky	1
Yuji Fujii	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	1
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	1
+ PDF Chat	Graph Neural Networks with Convolutional ARMA Filters	2021	Filippo Maria Bianchi Daniele Grattarola Lorenzo Livi Cesare Alippi	1
+	Simplifying Graph Convolutional Networks	2019	Felix Wu Tianyi Zhang Amauri H. Souza Christopher Fifty Tao Yu Kilian Q. Weinberger	1
+	Gated Graph Sequence Neural Networks	2015	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	1
+	GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation	2019	Marc Brockschmidt	1
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+ PDF Chat	Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design	2019	Hosein Mohammadi Makrani Farnoud Farahmand Hossein Sayadi Sara Bondi Sai Manoj Pudukotai Dinakarrao Houman Homayoun Setareh Rafatirad	1
+	Principal Neighbourhood Aggregation for Graph Nets	2020	Gabriele Corso Luca Cavalleri Dominique Beaini Píetro Lió Petar Veličković	1
+ PDF Chat	Path integral based convolution and pooling for graph neural networks*	2021	Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Píetro Lió	1
+ PDF Chat	A Survey of Machine Learning for Computer Architecture and Systems	2022	Nan Wu Yuan Xie	1
+	Provably Powerful Graph Networks	2019	Haggai Maron Heli Ben-Hamu Hadar Serviansky Yaron Lipman	1
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+	Liveness-Driven Random Program Generation	2017	Gergö Barany	1