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Erik Jhones F. do Nascimento

Erik Nascimento

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Conference and Workshop Papers

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2023
[c4]
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  dblp key:
  - conf/aistats/PereiraNRMS23
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Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza:
Distill n' Explain: explaining graph neural networks using simple surrogates. AISTATS 2023: 6199-6214
2022
[c3]
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  - conf/bracis/PereiraNMS22
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Tamara A. Pereira, Erik Jhones F. do Nascimento, Diego Mesquita, Amauri H. Souza:
ConveXplainer for Graph Neural Networks. BRACIS (2) 2022: 588-600
2021
[c2]
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Erik Jhones F. do Nascimento, Amauri H. Souza, Diego Mesquita:
Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions. ESANN 2021
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  - conf/sbgames/NascimentoCALS21
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Erik Jhones F. do Nascimento, Tassiana M. Castro, Ana Carolina S. Abreu, Filipe A. Lira, Amauri H. Souza:
Procedural Generation of Isometric Racetracks Using Chain Code for Racing Games. SBGames 2021: 136-143

Informal and Other Publications

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2024
[i2]
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  - journals/corr/abs-2403-04605
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Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H. Souza:
In-n-Out: Calibrating Graph Neural Networks for Link Prediction. CoRR abs/2403.04605 (2024)
2023
[i1]
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  - journals/corr/abs-2303-10139
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Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza:
Distill n' Explain: explaining graph neural networks using simple surrogates. CoRR abs/2303.10139 (2023)

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