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2004.14949
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SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
30 April 2020
Kexin Huang
C. Xiao
Lucas Glass
Marinka Zitnik
Jimeng Sun
GNN
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Papers citing
"SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks"
9 / 9 papers shown
Title
Rethinking Federated Graph Learning: A Data Condensation Perspective
Hao Zhang
Xunkai Li
Y. X. Zhu
Lianglin Hu
FedML
DD
AI4CE
49
0
0
05 May 2025
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions
Mengying Jiang
Guizhong Liu
Yuanchao Su
Weiqiang Jin
Biao Zhao
11
2
0
28 Feb 2024
Tensor-view Topological Graph Neural Network
Tao Wen
Elynn Chen
Yuzhou Chen
24
8
0
22 Jan 2024
Robust Stochastic Graph Generator for Counterfactual Explanations
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
CML
6
3
0
18 Dec 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
14
8
0
16 Feb 2023
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning
Rishikesh Magar
Yuyang Wang
Cooper Lorsung
Chen Liang
Hariharan Ramasubramanian
Peiyuan Li
A. Farimani
24
27
0
30 Nov 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
Benedek Rozemberczki
A. Gogleva
S. Nilsson
G. Edwards
A. Nikolov
Eliseo Papa
GNN
15
19
0
28 Oct 2021
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
25
259
0
18 Feb 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
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