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1905.00534
Cited By
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
2 May 2019
Andreea Deac
Yu-Hsiang Huang
Petar Velickovic
Pietro Lio
Jian Tang
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Papers citing
"Drug-Drug Adverse Effect Prediction with Graph Co-Attention"
25 / 25 papers shown
Recent Developments in GNNs for Drug Discovery
Zhengyu Fang
Xiaoge Zhang
Anyin Zhao
Xiao Li
Huiyuan Chen
Jing Li
299
5
0
02 Jun 2025
3D Interaction Geometric Pre-training for Molecular Relational Learning
Namkyeong Lee
Yunhak Oh
Heewoong Noh
Gyoung S. Na
Minkai Xu
Hanchen Wang
Tianfan Fu
Chanyoung Park
AI4CE
487
0
0
04 Dec 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
Neural Information Processing Systems (NeurIPS), 2024
Sizhe Liu
Jun Xia
Lecheng Zhang
Yuchen Liu
Yue Liu
...
Zhangyang Gao
Bozhen Hu
Cheng Tan
Hongxin Xiang
Stan Z. Li
264
6
0
19 Oct 2024
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
Azmine Toushik Wasi
Taki Hasan Rafi
Raima Islam
Serbetar Karlo
Dong-Kyu Chae
OOD
359
1
0
25 Mar 2024
MolTC: Towards Molecular Relational Modeling In Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Cunchun Li
Shuai Zhang
Chang Wu
Zhengyi Yang
Zhiyuan Liu
Changhao Nai
Kun Wang
Wenjie Du
Xiang Wang
663
43
0
06 Feb 2024
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
L. Delong
Ramon Fernández Mir
Zonglin Ji
Fiona Niamh Coulter Smith
Jacques D. Fleuriot
265
2
0
17 Jul 2023
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin
Lichang Dai
Yafang Zhou
Zunpeng Yu
Wen Zhang
...
Li Zeng
Hao-Heng Chen
Bosheng Song
Philip S. Yu
Xiangxiang Zeng
GNN
211
90
0
08 Jun 2023
Oversmoothing: A Nightmare for Graph Contrastive Learning?
Jintang Li
Wangbin Sun
Ruofan Wu
Yuchang Zhu
Liang Chen
Zibin Zheng
277
2
0
03 Jun 2023
Shift-Robust Molecular Relational Learning with Causal Substructure
Knowledge Discovery and Data Mining (KDD), 2023
Namkyeong Lee
Kanghoon Yoon
Gyoung S. Na
Sein Kim
Chanyoung Park
439
25
0
29 May 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
International Conference on Machine Learning (ICML), 2023
Namkyeong Lee
Dongmin Hyun
Gyoung S. Na
Sungwon Kim
Junseok Lee
Chanyoung Park
341
41
0
29 Apr 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs
Nhat-Khang Ngô
Truong-Son Hy
Risi Kondor
GNN
BDL
170
2
0
17 Feb 2023
Everything is Connected: Graph Neural Networks
Current Opinion in Structural Biology (Curr. Opin. Struct. Biol.), 2023
Petar Velickovic
GNN
AI4CE
398
271
0
19 Jan 2023
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
IEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2022
P. Bongini
Elisa Messori
Niccolò Pancino
Monica Bianchini
GNN
OOD
210
4
0
30 Nov 2022
Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction
International Conference on Information and Knowledge Management (CIKM), 2022
Xinyu Zhu
Yongliang Shen
Weiming Lu
138
29
0
24 Aug 2022
Multi-View Substructure Learning for Drug-Drug Interaction Prediction
Zimeng Li
Shi-jing Zhu
Jia Zhang
Tie-Yan Liu
Xiangxiang Zeng
Tong Wang
347
1
0
28 Mar 2022
Modular multi-source prediction of drug side-effects with DruGNN
IEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2022
P. Bongini
F. Scarselli
Monica Bianchini
Giovanna Maria Dimitri
Niccolò Pancino
Pietro Lio
124
26
0
15 Feb 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring
Knowledge Discovery and Data Mining (KDD), 2022
Benedek Rozemberczki
Charles Tapley Hoyt
A. Gogleva
Piotr Grabowski
Klas Karis
...
Sebastian Nilsson
M. Ughetto
Yu Wang
Hanyu Wang
Benjamin M. Gyori
435
27
0
10 Feb 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
325
10
0
07 Feb 2022
A Unified View of Relational Deep Learning for Drug Pair Scoring
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Benedek Rozemberczki
Stephen Bonner
A. Nikolov
M. Ughetto
Sebastian Nilsson
Eliseo Papa
437
17
0
04 Nov 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
656
183
0
05 Feb 2021
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
379
40
0
09 Dec 2020
Hierarchical Protein Function Prediction with Tail-GNNs
Stefan Spalević
Petar Velivcković
Jovana Kovavcević
Mladen Nikolic
AI4CE
252
5
0
24 Jul 2020
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
Yunsheng Bai
Ken Gu
Luke Huan
Wei Wang
GNN
136
25
0
11 Jun 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Yu Chen
Lingfei Wu
Mohammed J Zaki
451
67
0
13 Apr 2020
Tensor Graph Convolutional Networks for Text Classification
AAAI Conference on Artificial Intelligence (AAAI), 2020
Xien Liu
Xinxin You
Xiao Zhang
Ji Wu
Ping Lv
GNN
264
282
0
12 Jan 2020
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