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Molecular Graph Convolutions: Moving Beyond Fingerprints

Molecular Graph Convolutions: Moving Beyond Fingerprints

2 March 2016
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
    GNN
ArXivPDFHTML

Papers citing "Molecular Graph Convolutions: Moving Beyond Fingerprints"

50 / 428 papers shown
Title
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks
Xinyu Wang
Jinbo Bi
Minghu Song
CLL
60
0
0
01 May 2025
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization
Bojana Ranković
P. Schwaller
BDL
140
0
0
08 Apr 2025
NaFM: Pre-training a Foundation Model for Small-Molecule Natural Products
NaFM: Pre-training a Foundation Model for Small-Molecule Natural Products
Yuheng Ding
Yusong Wang
Bo Qiang
Jie Yu
Qi Li
Yiran Zhou
Zhenmin Liu
141
0
0
22 Mar 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Julian Carvajal Rico
A. Alaeddini
Syed Hasib Akhter Faruqui
S. Fisher-Hoch
J. McCormick
63
0
0
13 Mar 2025
Curvature Corrected Nonnegative Manifold Data Factorization
Curvature Corrected Nonnegative Manifold Data Factorization
Joyce A. Chew
Willem Diepeveen
Deanna Needell
57
0
0
24 Feb 2025
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
Ding Hu
Pengxiang Hua
Zhen Huang
77
0
0
09 Feb 2025
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
Eugenio Borzone
Leandro Di Persia
Matias Gerard
SSL
70
0
0
21 Jan 2025
Pre-training Graph Neural Networks on Molecules by Using
  Subgraph-Conditioned Graph Information Bottleneck
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang
O-Joun Lee
AI4CE
80
1
0
20 Dec 2024
Globally Correlation-Aware Hard Negative Generation
Globally Correlation-Aware Hard Negative Generation
Wenjie Peng
Hongxiang Huang
Tianshui Chen
Quhui Ke
Gang Dai
Shuangping Huang
64
2
0
20 Nov 2024
DiVR: incorporating context from diverse VR scenes for human trajectory
  prediction
DiVR: incorporating context from diverse VR scenes for human trajectory prediction
Franz Franco Gallo
Hui-Yin Wu
L. Sassatelli
21
2
0
13 Nov 2024
Contextual Representation Anchor Network to Alleviate Selection Bias in
  Few-Shot Drug Discovery
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
Ruifeng Li
Wei Liu
Xiangxin Zhou
Mingqian Li
Qiang Zhang
Hongyang Chen
Xuemin Lin
34
0
0
28 Oct 2024
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised
  Learning using Sparse Passenger Reports
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
Soto Anno
Kota Tsubouchi
Masamichi Shimosaka
AI4TS
9
0
0
23 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural
  Reconstruction
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan
Ruyi Ding
Jiaxing He
A. A. Ding
Yunsi Fei
Xiaolin Xu
29
0
0
04 Oct 2024
When Molecular GAN Meets Byte-Pair Encoding
When Molecular GAN Meets Byte-Pair Encoding
Huidong Tang
Chen Li
Yasuhiko Morimoto
22
0
0
29 Sep 2024
Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction
  Based on Chemical Structure
Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure
Shengjie Xu
Lingxi Xie
20
0
0
23 Sep 2024
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for
  Denoising DNA-Encoded Libraries
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries
Chunbin Gu
Mutian He
Hanqun Cao
Guangyong Chen
Chang-Yu Hsieh
Pheng Ann Heng
AI4CE
20
2
0
07 Sep 2024
Reactzyme: A Benchmark for Enzyme-Reaction Prediction
Reactzyme: A Benchmark for Enzyme-Reaction Prediction
Chenqing Hua
Bozitao Zhong
Sitao Luan
Liang Hong
Guy Wolf
Doina Precup
Shuangjia Zheng
32
5
0
24 Aug 2024
4D Diffusion for Dynamic Protein Structure Prediction with Reference
  Guided Motion Alignment
4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment
Kaihui Cheng
Ce Liu
Qingkun Su
Jun Wang
Liwei Zhang
Yining Tang
Yao Yao
Siyu Zhu
Yuan Qi
DiffM
26
0
0
22 Aug 2024
LipidBERT: A Lipid Language Model Pre-trained on METiS de novo Lipid Library
LipidBERT: A Lipid Language Model Pre-trained on METiS de novo Lipid Library
Tianhao Yu
Cai Yao
Zhuorui Sun
Feng Shi
Lin Zhang
...
Xicheng Zhang
Jiali Zou
Wenshou Wang
C. Lai
Kai Wang
26
3
0
12 Aug 2024
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for
  Molecular Graph Classification
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
Jakub Adamczyk
Wojciech Czech
42
2
0
16 Jul 2024
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
Piotr Gaiñski
Michał Koziarski
Krzysztof Maziarz
Marwin H. S. Segler
Jacek Tabor
Marek Śmieja
44
3
0
26 Jun 2024
Bayesian neural networks for predicting uncertainty in full-field
  material response
Bayesian neural networks for predicting uncertainty in full-field material response
G. Pasparakis
Lori Graham-Brady
Michael D. Shields
AI4CE
37
4
0
21 Jun 2024
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer
  Models
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
Yili Wang
Kaixiong Zhou
Ninghao Liu
Ying Wang
Xin Wang
36
10
0
19 Jun 2024
Enhancing Size Generalization in Graph Neural Networks through
  Disentangled Representation Learning
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang
Qihui Yang
Dawei Zhou
Yujun Yan
AI4CE
28
2
0
07 Jun 2024
GATE: How to Keep Out Intrusive Neighbors
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa
R. Burkholz
30
0
0
01 Jun 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Yiran Qiao
Xiang Ao
Yang Liu
Jiarong Xu
Xiaoqian Sun
Qing He
27
3
0
22 May 2024
Contrastive Dual-Interaction Graph Neural Network for Molecular Property
  Prediction
Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
Zexing Zhao
Guangsi Shi
Xiaopeng Wu
Ruohua Ren
Xiaojun Gao
Fuyi Li
26
1
0
04 May 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive
  Modeling on Relational DBs
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Minjie Wang
Quan Gan
David Wipf
Zhenkun Cai
Ning Li
...
Chuan Lei
Mu-Nan Zhang
Weinan Zhang
Christos Faloutsos
Zheng-Wei Zhang
38
3
0
28 Apr 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to
  Node Feature Attacks
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Yassine Abbahaddou
Sofiane Ennadir
J. Lutzeyer
Michalis Vazirgiannis
Henrik Bostrom
AAML
OOD
29
6
0
27 Apr 2024
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph
  Convolution and Pooling
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling
Zehao Dong
Muhan Zhang
Yixin Chen
43
0
0
21 Apr 2024
Transformers for molecular property prediction: Lessons learned from the
  past five years
Transformers for molecular property prediction: Lessons learned from the past five years
Afnan Sultan
Jochen Sieg
M. Mathea
Andrea Volkamer
AI4CE
29
10
0
05 Apr 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel
  Optimization
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
Amber Yijia Zheng
Tong He
Yixuan Qiu
Minjie Wang
David Wipf
31
2
0
07 Mar 2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural
  Networks
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
Lisa Schneckenreiter
Richard Freinschlag
Florian Sestak
Johannes Brandstetter
G. Klambauer
Andreas Mayr
28
4
0
07 Mar 2024
Almost Surely Asymptotically Constant Graph Neural Networks
Almost Surely Asymptotically Constant Graph Neural Networks
Sam Adam-Day
Michael Benedikt
.Ismail .Ilkan Ceylan
Ben Finkelshtein
GNN
63
2
0
06 Mar 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse
  Task Perspectives
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
Simone Alberto Peirone
Francesca Pistilli
A. Alliegro
Giuseppe Averta
EgoV
27
4
0
05 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge
  Distillation Framework
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li
Bin Shi
Erfei Cui
Hua Wei
Qinghua Zheng
41
0
0
02 Mar 2024
Graph Diffusion Policy Optimization
Graph Diffusion Policy Optimization
Yijing Liu
Chao Du
Tianyu Pang
Chongxuan Li
Wei Chen
Min-Bin Lin
27
7
0
26 Feb 2024
Pretraining Strategy for Neural Potentials
Pretraining Strategy for Neural Potentials
Zehua Zhang
Zijie Li
A. Farimani
AI4CE
42
0
0
24 Feb 2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward
  Comprehensive Benchmarks
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks
Qian Ma
Hongliang Chi
Hengrui Zhang
Kay Liu
Zhiwei Zhang
Lu Cheng
Suhang Wang
Philip S. Yu
Yao Ma
22
3
0
24 Feb 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
Sofiane Ennadir
Yassine Abbahaddou
J. Lutzeyer
Michalis Vazirgiannis
Henrik Bostrom
AAML
24
12
0
21 Feb 2024
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
Paolo Sortino
Salvatore Contino
Ugo Perricone
Roberto Pirrone
Roberto Pirrone
19
0
0
29 Jan 2024
Enhancing selectivity using Wasserstein distance based reweighing
Enhancing selectivity using Wasserstein distance based reweighing
Pratik Worah
OOD
48
0
0
21 Jan 2024
Molecular Property Prediction Based on Graph Structure Learning
Molecular Property Prediction Based on Graph Structure Learning
Bangyi Zhao
Weixia Xu
Jihong Guan
Shuigeng Zhou
19
7
0
28 Dec 2023
Olfactory Label Prediction on Aroma-Chemical Pairs
Olfactory Label Prediction on Aroma-Chemical Pairs
Laura Sisson
Aryan Amit Barsainyan
Mrityunjay Sharma
Ritesh Kumar
11
0
0
26 Dec 2023
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive
  Molecular Property Prediction
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction
Andac Demir
Francis Prael
B. Kiziltan
19
2
0
12 Dec 2023
Robust Graph Neural Network based on Graph Denoising
Robust Graph Neural Network based on Graph Denoising
Victor M. Tenorio
Samuel Rey
Antonio G. Marques
AAML
29
1
0
11 Dec 2023
A Universal Framework for Accurate and Efficient Geometric Deep Learning
  of Molecular Systems
A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems
Shuo-feng Zhang
Yang Liu
Lei Xie
AI4CE
GNN
PINN
29
10
0
19 Nov 2023
Multiparameter Persistent Homology for Molecular Property Prediction
Multiparameter Persistent Homology for Molecular Property Prediction
Andac Demir
B. Kiziltan
22
1
0
17 Nov 2023
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning
Hao Xu
Yifei Wang
Yunrui Li
Pengyu Hong
Pengyu Hong
19
3
0
11 Nov 2023
Graph Neural Networks with a Distribution of Parametrized Graphs
Graph Neural Networks with a Distribution of Parametrized Graphs
See Hian Lee
Feng Ji
Kelin Xia
Wee Peng Tay
39
0
0
25 Oct 2023
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