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Workshop
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A Simple and Yet Fairly Effective Defense for Graph Neural Networks
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Poster
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Wed 14:00
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Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
Enming Liang · Minghua Chen · Steven Low
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Workshop
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Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
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Workshop
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Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs
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Workshop
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Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
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Workshop
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Navigating Graph Robust Learning against All-Intensity Attacks
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Workshop
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Fri 12:50
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A new perspective on building efficient and expressive 3D equivariant graph neural networks
Yuanqi Du
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Workshop
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Navigating Graph Robust Learning against All-Intensity Attacks
Xiangchi Yuan · Chunhui Zhang · Yijun Tian · Chuxu Zhang
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Poster
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Tue 17:00
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From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
Cai Zhou · Xiyuan Wang · Muhan Zhang
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Expo Talk Panel
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Sun 18:00
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Graph Neural Networks in TensorFlow: a Practical Guide
Bryan Perozzi
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Workshop
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Fri 19:00
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One-Shot Neural Network Pruning via Spectral Graph Sparsification
Steinar Laenen
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Workshop
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Fri 18:20
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Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee · Avaljot Singh · Gagandeep Singh
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