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616 Results
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Poster
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Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan · Xiao Wang · Yanhu Mo · Chuan Shi · Jian Tang |
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Workshop
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GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara · Rex Ying · Zitao Zhang · Zhihao Han · Yinan Shan · Ulrik Brandes · Sebastian Schemm |
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Poster
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Thu 14:00 |
Graph Neural Networks are Dynamic Programmers Andrew J Dudzik · Petar Veličković |
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Poster
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Tue 9:00 |
Brain Network Transformer Xuan Kan · Wei Dai · Hejie Cui · Zilong Zhang · Ying Guo · Carl Yang |
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Workshop
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Positional Encoder Graph Neural Networks for Geographic Data Konstantin Klemmer · Nathan Safir · Daniel Neill |
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Workshop
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Do graph neural networks learn jet substructure? Farouk Mokhtar · Raghav Kansal · Javier Duarte |
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Workshop
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NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian · Chuxu Zhang · Zhichun Guo · Xiangliang Zhang · Nitesh Chawla |
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Workshop
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When Are Graph Neural Networks Better Than Structure-Agnostic Methods? Diana Gomes · Fred RL · Kyriakos Efthymiadis · Ann Nowe · Peter Vrancx |
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Poster
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NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yijian Qin · Ziwei Zhang · Xin Wang · Zeyang Zhang · Wenwu Zhu |
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Poster
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Thu 9:00 |
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting Yuzhou Chen · Yulia Gel · H. Vincent Poor |
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Poster
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Thu 14:00 |
Learning to Configure Computer Networks with Neural Algorithmic Reasoning Luca Beurer-Kellner · Martin Vechev · Laurent Vanbever · Petar Veličković |
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Poster
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Wed 9:00 |
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction Hansheng Xue · Vaibhav Rajan · Yu Lin |