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Explainable Molecular Property Prediction: Aligning Chemical Concepts
  with Predictions via Language Models

Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models

25 May 2024
Zhenzhong Wang
Zehui Lin
Wanyu Lin
Ming Yang
Minggang Zeng
Kay Chen Tan
ArXivPDFHTML

Papers citing "Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models"

19 / 19 papers shown
Title
QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model
QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model
Zongxian Yang
Jiayu Qian
Z. Huang
Kay Chen Tan
LM&MA
LRM
118
0
0
13 Apr 2025
Tanimoto Random Features for Scalable Molecular Machine Learning
Tanimoto Random Features for Scalable Molecular Machine Learning
Austin Tripp
S. Bacallado
Sukriti Singh
José Miguel Hernández-Lobato
46
8
0
26 Jun 2023
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for
  Property Prediction
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
Xiaomin Fang
Lihang Liu
Jieqiong Lei
Donglong He
Shanzhuo Zhang
Jingbo Zhou
Fan Wang
Hua Wu
Haifeng Wang
AI4CE
58
448
0
11 Jun 2021
Generative Causal Explanations for Graph Neural Networks
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin
Hao Lan
Baochun Li
CML
59
176
0
14 Apr 2021
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular
  Property Prediction
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
Seyone Chithrananda
Gabriel Grand
Bharath Ramsundar
AI4CE
83
407
0
19 Oct 2020
TUDataset: A collection of benchmark datasets for learning with graphs
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris
Nils M. Kriege
Franka Bause
Kristian Kersting
Petra Mutzel
Marion Neumann
233
820
0
16 Jul 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
138
2,731
0
05 Jun 2020
Quantifying Attention Flow in Transformers
Quantifying Attention Flow in Transformers
Samira Abnar
Willem H. Zuidema
152
795
0
02 May 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
230
7,504
0
02 Oct 2019
Attention is not not Explanation
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAI
AAML
FAtt
120
909
0
13 Aug 2019
Is Attention Interpretable?
Is Attention Interpretable?
Sofia Serrano
Noah A. Smith
101
683
0
09 Jun 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
140
1,319
0
10 Mar 2019
Attention is not Explanation
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
134
1,323
0
26 Feb 2019
Sanity Checks for Saliency Maps
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAtt
AAML
XAI
129
1,966
0
08 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
238
7,642
0
01 Oct 2018
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
198
3,871
0
10 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
297
20,003
0
07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
614
29,051
0
09 Sep 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,308
0
14 Dec 2015
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