Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2405.16041
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
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
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
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
Wanyu Lin
Hao Lan
Baochun Li
CML
59
176
0
14 Apr 2021
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
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
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
138
2,731
0
05 Jun 2020
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
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
230
7,504
0
02 Oct 2019
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAI
AAML
FAtt
120
909
0
13 Aug 2019
Is Attention Interpretable?
Sofia Serrano
Noah A. Smith
101
683
0
09 Jun 2019
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
Sarthak Jain
Byron C. Wallace
FAtt
134
1,323
0
26 Feb 2019
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?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
238
7,642
0
01 Oct 2018
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
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
Thomas Kipf
Max Welling
GNN
SSL
614
29,051
0
09 Sep 2016
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
1