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Journal Articles
- 2023
[j2]Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying:
Generative Explanation for Graph Neural Network: Methods and Evaluation. IEEE Data Eng. Bull. 46(2): 64-79 (2023)- [j1]Kenza Amara, Raquel Rodríguez-Pérez, José Jiménez-Luna:
Explaining compound activity predictions with a substructure-aware loss for graph neural networks. J. Cheminformatics 15(1): 67 (2023)
Conference and Workshop Papers
- 2024
- [c5]Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady:
SyntaxShap: Syntax-aware Explainability Method for Text Generation. ACL (Findings) 2024: 4551-4566 - [c4]Kenza Amara
, Rita Sevastjanova, Mennatallah El-Assady:
Challenges and Opportunities in Text Generation Explainability. xAI (1) 2024: 244-264 - 2022
- [c3]Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu:
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. AAAI 2022: 12119-12125 - [c2]Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang:
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. LoG 2022: 44 - [c1]Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Nearest Neighbor Search with Compact Codes: A Decoder Perspective. ICMR 2022: 167-175
Informal and Other Publications
- 2024
- [i10]Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Giovanni Sansavini:
PowerGraph: A power grid benchmark dataset for graph neural networks. CoRR abs/2402.02827 (2024) - [i9]Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady:
SyntaxShap: Syntax-aware Explainability Method for Text Generation. CoRR abs/2402.09259 (2024) - [i8]Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady:
Challenges and Opportunities in Text Generation Explainability. CoRR abs/2405.08468 (2024) - [i7]Alan Boyle, Isha Gupta, Sebastian Hönig, Lukas Mautner, Kenza Amara, Furui Cheng, Mennatallah El-Assady:
iToT: An Interactive System for Customized Tree-of-Thought Generation. CoRR abs/2409.00413 (2024) - [i6]Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady:
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities. CoRR abs/2410.01690 (2024) - 2023
- [i5]Kenza Amara, Mennatallah El-Assady, Rex Ying:
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations. CoRR abs/2309.16223 (2023) - [i4]Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying:
Generative Explanations for Graph Neural Network: Methods and Evaluations. CoRR abs/2311.05764 (2023) - 2022
- [i3]Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu:
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. CoRR abs/2201.11192 (2022) - [i2]Kenza Amara, Rex Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang:
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. CoRR abs/2206.09677 (2022) - 2021
- [i1]Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Nearest neighbor search with compact codes: A decoder perspective. CoRR abs/2112.09568 (2021)
Coauthor Index
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