ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.01450
  4. Cited By
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge
  Graph Summarization

SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

4 October 2020
Yue Yu
Kexin Huang
Chao Zhang
Lucas Glass
Jimeng Sun
Cao Xiao
ArXivPDFHTML

Papers citing "SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization"

7 / 7 papers shown
Title
Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
Manel Gil-Sorribes
Alexis Molina
44
0
0
30 Mar 2025
Navigating Healthcare Insights: A Birds Eye View of Explainability with
  Knowledge Graphs
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
Satvik Garg
Anh Nguyen
Somya Garg
29
2
0
28 Sep 2023
R-Mixup: Riemannian Mixup for Biological Networks
R-Mixup: Riemannian Mixup for Biological Networks
Xuan Kan
Zimu Li
Hejie Cui
Yue Yu
Ran Xu
Shaojun Yu
Zilong Zhang
Ying Guo
Carl Yang
33
6
0
05 Jun 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
22
8
0
16 Feb 2023
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
Khaled Mohammed Saifuddin
Bri Bumgardnerr
Farhan Tanvir
Esra Akbas
9
27
0
25 Jun 2022
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination
  Therapy
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
Benedek Rozemberczki
A. Gogleva
S. Nilsson
G. Edwards
A. Nikolov
Eliseo Papa
GNN
23
19
0
28 Oct 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
1