Heterogeneous graph attention network improves cancer multiomics integration

5 August 2024

Papers citing "Heterogeneous graph attention network improves cancer multiomics integration"

9 / 9 papers shown

Title
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 110 92 0 07 Sep 2022
Handling Missing Data with Graph Representation Learning Jiaxuan You Xiaobai Ma D. Ding Mykel Kochenderfer J. Leskovec 76 181 0 30 Oct 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs Hao Xu Shengqi Sang Peizhen Bai Laurence Yang Haiping Lu GNN 61 15 0 29 Oct 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 156 15,026 0 18 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 553 42,639 0 03 Dec 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 244 4,368 0 06 Mar 2019
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation Rana Ali Amjad Kairen Liu Bernhard C. Geiger FAtt 74 20 0 18 Apr 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 817 39,062 0 09 Mar 2016