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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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When Are Graph Neural Networks Better Than Structure-Agnostic Methods?
Diana Gomes · Fred RL · Kyriakos Efthymiadis · Ann Nowe · Peter Vrancx
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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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Positional Encoder Graph Neural Networks for Geographic Data
Konstantin Klemmer · Nathan Safir · Daniel Neill
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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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Workshop
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Lorentz Direct Concatenation for Stable Training in Hyperbolic Neural Networks
Eric Qu · Dongmian Zou
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Poster
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Thu 9:00
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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
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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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Tue 9:00
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Graph Few-shot Learning with Task-specific Structures
Song Wang · Chen Chen · Jundong Li
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Poster
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Learning Invariant Graph Representations for Out-of-Distribution Generalization
Haoyang Li · Ziwei Zhang · Xin Wang · Wenwu Zhu
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Poster
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Tue 14:00
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Neural Approximation of Graph Topological Features
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Yusu Wang · Chao Chen
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Workshop
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A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning
Austin Atsango · Nathaniel Diamant · Ziqing Lu · Tommaso Biancalani · Gabriele Scalia · Kangway Chuang
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