MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination
Therapy

MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy

28 October 2021

Benedek Rozemberczki

Papers citing "MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy"

9 / 9 papers shown

Title
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design Carl N. Edwards Aakanksha Naik Tushar Khot Martin Burke Heng Ji Tom Hope 18 13 0 19 Jun 2023
Shift-Robust Molecular Relational Learning with Causal Substructure Namkyeong Lee Kanghoon Yoon Gyoung S. Na Sein Kim Chanyoung Park 21 15 0 29 May 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 32 29 0 11 Mar 2023
TigerLily: Finding drug interactions in silico with the Graph Benedek Rozemberczki GNN 6 0 0 18 Apr 2022
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro Paul Bertin Jarrid Rector-Brooks Deepak Sharma Thomas Gaudelet A. Anighoro ... Charlie Roberts M. Bronstein L. Lairson J. Taylor-King Yoshua Bengio 15 10 0 07 Feb 2022
A Unified View of Relational Deep Learning for Drug Pair Scoring Benedek Rozemberczki Stephen Bonner A. Nikolov M. Ughetto Sebastian Nilsson Eliseo Papa 6 15 0 04 Nov 2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali M. Berrendorf Charles Tapley Hoyt Laurent Vermue Sahand Sharifzadeh Volker Tresp Jens Lehmann 31 142 0 28 Jul 2020
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs Anton Tsitsulin Marina Munkhoeva Bryan Perozzi 28 23 0 03 Mar 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 828 0 28 Sep 2019