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. 2406.08649
  4. Cited By
MOTI$\mathcal{VE}$: A Drug-Target Interaction Graph For Inductive Link
  Prediction

MOTIVE\mathcal{VE}VE: A Drug-Target Interaction Graph For Inductive Link Prediction

12 June 2024
John Arevalo
Ellen Su
Anne E Carpenter
Shantanu Singh
ArXiv (abs)PDFHTMLGithub (17★)

Papers citing "MOTI$\mathcal{VE}$: A Drug-Target Interaction Graph For Inductive Link Prediction"

8 / 8 papers shown
Title
KG-Hub -- Building and Exchanging Biological Knowledge Graphs
KG-Hub -- Building and Exchanging Biological Knowledge Graphs
J. H. Caufield
Timothy Putman
Kevin Schaper
Deepak R. Unni
Harshad B. Hegde
...
M. Haendel
Peter N. Robinson
marcin p. joachimiak
Christopher J. Mungall
Justin P Reese
113
19
0
31 Jan 2023
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge
  Graph Perspective
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
Ola Engkvist
A. Bender
Charles Tapley Hoyt
William L. Hamilton
62
95
0
19 Feb 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
306
2,732
0
02 May 2020
Generative Adversarial Zero-Shot Relational Learning for Knowledge
  Graphs
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Pengda Qin
Xin Eric Wang
Wenhu Chen
Chunyun Zhang
Weiran Xu
William Yang Wang
GAN
72
85
0
08 Jan 2020
OpenBioLink: A benchmarking framework for large-scale biomedical link
  prediction
OpenBioLink: A benchmarking framework for large-scale biomedical link prediction
Anna Breit
Simon Ott
Asan Agibetov
Matthias Samwald
LM&MA
76
55
0
10 Dec 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
229
4,341
0
06 Mar 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,653
0
01 Oct 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 2017
1