D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

24 April 2019

Papers citing "D-VAE: A Variational Autoencoder for Directed Acyclic Graphs"

38 / 38 papers shown

Title
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Xuan Rao Bo Zhao Derong Liu Cesare Alippi 44 0 0 25 Apr 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 51 0 0 24 Apr 2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks Xiao Yue Guangzhi Qu Lige Gan GAN FAtt AI4CE 63 0 0 08 Mar 2025
ArtFormer: Controllable Generation of Diverse 3D Articulated Objects Jiayi Su Youhe Feng Zheng Li Jinhua Song Yangfan He Botao Ren Botian Xu AI4CE 86 2 0 10 Dec 2024
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li Viraj Shitole Eli Chien Changhai Man Zhaodong Wang Srinivas Sridharan Ying Zhang Tushar Krishna P. Li 37 0 0 04 Nov 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 38 1 0 09 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 33 2 0 17 Sep 2024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings Nikolaos Nakis Chrysoula Kosma Giannis Nikolentzos Michalis Chatzianastasis Iakovos Evdaimon Michalis Vazirgiannis 41 1 0 16 Sep 2024
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 29 30 0 07 Dec 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 31 30 0 31 Aug 2023
DeepSeq: Deep Sequential Circuit Learning Sadaf Khan Zhengyuan Shi Min Li Qiang Xu GNN 28 8 0 27 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 21 0 0 05 Feb 2023
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 68 4 0 11 Nov 2022
Neural Topological Ordering for Computation Graphs Mukul Gagrani Corrado Rainone Yang Yang Harris Teague Wonseok Jeon H. V. Hoof Weizhen Zeng P. Zappi Chris Lott Roberto Bondesan 23 12 0 13 Jul 2022
DeepTPI: Test Point Insertion with Deep Reinforcement Learning Zhengyuan Shi Min Li Sadaf Khan Liuzheng Wang Naixing Wang Yu Huang Qiang Xu 26 14 0 07 Jun 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 33 17 0 19 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient Jovita Lukasik Steffen Jung M. Keuper 19 15 0 16 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 31 67 0 13 Mar 2022
MVP: Multimodality-guided Visual Pre-training Longhui Wei Lingxi Xie Wen-gang Zhou Houqiang Li Qi Tian 28 105 0 10 Mar 2022
Local Latent Space Bayesian Optimization over Structured Inputs N. Maus Haydn Jones Juston Moore Matt J. Kusner John Bradshaw J. Gardner BDL 49 69 0 28 Jan 2022
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning Kui Yu Zhaolong Ling Lin Liu Hao Wang Jiuyong Li 28 4 0 20 Dec 2021
DeepGate: Learning Neural Representations of Logic Gates Min Li Sadaf Khan Zhengyuan Shi Naixing Wang Yu Huang Qiang Xu GNN NAI AI4CE 20 41 0 26 Nov 2021
Asymmetric Graph Representation Learning Zhuo Tan B. Liu Guosheng Yin 18 1 0 14 Oct 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung S. Hwang 34 43 0 02 Jul 2021
Directed Acyclic Graph Network for Conversational Emotion Recognition Weizhou Shen Siyue Wu Yunyi Yang Xiaojun Quan 31 240 0 27 May 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 22 24 0 14 Feb 2021
Barking up the right tree: an approach to search over molecule synthesis DAGs John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 45 56 0 21 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
BOSS: Bayesian Optimization over String Spaces Henry B. Moss Daniel Beck Javier I. González David S. Leslie Paul Rayson 6 68 0 02 Oct 2020
BRP-NAS: Prediction-based NAS using GCNs L. Dudziak Thomas C. P. Chau Mohamed S. Abdelfattah Royson Lee Hyeji Kim Nicholas D. Lane GNN 10 200 0 16 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 35 146 0 13 Jul 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang Daniel R. Jiang Maximilian Balandat Brian Karrer J. Gardner Roman Garnett 6 44 0 29 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 27 99 0 12 Jun 2020
Causality-based Feature Selection: Methods and Evaluations Kui Yu Xianjie Guo Lin Liu Jiuyong Li Hao Wang Zhaolong Ling Xindong Wu CML 21 92 0 17 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White W. Neiswanger Yash Savani BDL 23 313 0 25 Oct 2019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 197 885 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,337 0 12 Feb 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016