Representation Learning of Geometric Trees

Representation Learning of Geometric Trees

16 August 2024

Zheng Zhang

Liang Zhao

ArXiv (abs)PDF HTML

Papers citing "Representation Learning of Geometric Trees"

18 / 18 papers shown

Title
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First Zhengwu Zhang Junxiang Wang Liang Zhao 68 13 0 28 Oct 2023
An Invertible Graph Diffusion Neural Network for Source Localization Junxiang Wang Junji Jiang Liang Zhao DiffM 69 37 0 18 Jun 2022
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning Ziyue Qiao Pengyang Wang Yanjie Fu Yi Du P. Wang Yuanchun Zhou 46 18 0 23 Aug 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 165 697 0 18 Jun 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 143 881 0 06 Mar 2020
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 75 381 0 28 Oct 2019
Tree Transformer: Integrating Tree Structures into Self-Attention Yau-Shian Wang Hung-yi Lee Yun-Nung Chen 79 146 0 14 Sep 2019
Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data Jacob A. Harer Christopher P. Reale Peter Chin 62 44 0 01 Aug 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 126 1,416 0 29 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 250 4,368 0 06 Mar 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 182 1,703 0 16 Feb 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 263 7,710 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 132 2,399 0 27 Sep 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 157 1,087 0 26 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 521 15,369 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,500 0 04 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 500 14,384 0 02 Dec 2016