Poster
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Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
Lirong Wu · Haitao Lin · Yufei Huang · Stan Z. Li
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Workshop
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Spectrum Guided Topology Augmentation for Graph Contrastive Learning
Lu Lin · Jinghui Chen · Hongning Wang
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Poster
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Thu 9:00
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TreeMoCo: Contrastive Neuron Morphology Representation Learning
Hanbo Chen · Jiawei Yang · Daniel Iascone · Lijuan Liu · Lei He · Hanchuan Peng · Jianhua Yao
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Poster
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Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue · Chunhui Zhang · Chuxu Zhang · Hongfu Liu
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Affinity Workshop
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Reduce False Negative in Distant supervised learning using Dependency tree-LSTM to Construct a Knowledge Graph
Samira Korani
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Poster
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Thu 9:00
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A Universal Error Measure for Input Predictions Applied to Online Graph Problems
Giulia Bernardini · Alexander Lindermayr · Alberto Marchetti-Spaccamela · Nicole Megow · Leen Stougie · Michelle Sweering
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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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Training graph neural networks with policy gradients to perform tree search
Matthew Macfarlane · Diederik Roijers · Herke van Hoof
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Workshop
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Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
Sitao Luan · Mingde Zhao · Chenqing Hua · Xiao-Wen Chang · Doina Precup
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Poster
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Thu 14:00
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Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
Ching-Yao Chuang · Stefanie Jegelka
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Poster
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Thu 14:00
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Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization
Arman Zharmagambetov · Miguel A. Carreira-Perpinan
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Poster
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Tue 14:00
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Learning from a Sample in Online Algorithms
C.J. Argue · Alan Frieze · Anupam Gupta · Christopher Seiler
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