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. 2004.14949
  4. Cited By
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks

30 April 2020
Kexin Huang
C. Xiao
Lucas Glass
Marinka Zitnik
Jimeng Sun
    GNN
ArXivPDFHTML

Papers citing "SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks"

12 / 12 papers shown
Title
Rethinking Federated Graph Learning: A Data Condensation Perspective
Rethinking Federated Graph Learning: A Data Condensation Perspective
Hao Zhang
Xunkai Li
Yichen Zhu
Lianglin Hu
FedML
DD
AI4CE
54
0
0
05 May 2025
Hierarchical Multi-Relational Graph Representation Learning for
  Large-Scale Prediction of Drug-Drug Interactions
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions
Mengying Jiang
Guizhong Liu
Yuanchao Su
Weiqiang Jin
Biao Zhao
21
2
0
28 Feb 2024
Tensor-view Topological Graph Neural Network
Tensor-view Topological Graph Neural Network
Tao Wen
Elynn Chen
Yuzhou Chen
39
9
0
22 Jan 2024
Robust Stochastic Graph Generator for Counterfactual Explanations
Robust Stochastic Graph Generator for Counterfactual Explanations
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
CML
13
3
0
18 Dec 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
24
8
0
16 Feb 2023
Discovering and Explaining the Representation Bottleneck of Graph Neural
  Networks from Multi-order Interactions
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Fang Wu
Siyuan Li
Lirong Wu
Dragomir R. Radev
Stan Z. Li
27
2
0
15 May 2022
AugLiChem: Data Augmentation Library of Chemical Structures for Machine
  Learning
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning
Rishikesh Magar
Yuyang Wang
Cooper Lorsung
Chen Liang
Hariharan Ramasubramanian
Peiyuan Li
A. Farimani
28
27
0
30 Nov 2021
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
Towards a Unified Framework for Fair and Stable Graph Representation
  Learning
Towards a Unified Framework for Fair and Stable Graph Representation Learning
Chirag Agarwal
Himabindu Lakkaraju
Marinka Zitnik
27
156
0
25 Feb 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug
  Discovery and Development
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
OOD
LM&MA
33
261
0
18 Feb 2021
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
39
161
0
14 Jun 2020
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
276
1,944
0
09 Jun 2018
1