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Workshop
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Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang · Chao Huang · Yijun Tian · Qianlong Wen · Zhongyu Ouyang · Youhuan Li · Yanfang Ye · Chuxu Zhang
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Poster
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Wed 14:00
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Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi · Ekdeep S Lubana · Mark Heimann · Danai Koutra · Jayaraman Thiagarajan
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Workshop
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Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks
Samuel Leventhal · Attila Gyulassy · Valerio Pascucci · Mark Heimann
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Workshop
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Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
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Poster
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Tue 9:00
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GraphQNTK: Quantum Neural Tangent Kernel for Graph Data
Yehui Tang · Junchi Yan
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Poster
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Wed 9:00
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Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
Ivan Marisca · Andrea Cini · Cesare Alippi
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Workshop
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Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
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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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Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
Zhiyu Zhu · Junhui Hou · Xianqiang Lyu
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Poster
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Thu 14:00
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First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye · Lemeng Wu · Qiang Liu
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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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Collective Knowledge Graph Completion with Mutual Knowledge Distillation
Weihang Zhang · Ovidiu Serban · Jiahao Sun · Yike Guo
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