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Affinity Event
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Integrating Graph Neural Networks and Enhanced Sampling for Cryptic Pocket Discovery
Bodhi Vani
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Affinity Event
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Detecting and Approximating Redundant Computational Blocks in Neural Networks
Irene Cannistraci · Emanuele Rodolà · Bastian Rieck
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Affinity Event
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Multi-Modal Input Integration Using Convolutional Neural Networks to Predict CRISPRi Efficacy
Renee Napoliello · Lucas Ferns · Hongru Hu · Lacey Malina Walker · Gerald Quon
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Session
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Fri 10:00
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Overflow for Oral Session 5B: Graph Neural Networks, Causal Inference
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Affinity Event
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Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI
Gopinaath Kannabiran · Sacha Knox
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Poster
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Fri 11:00
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A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
Guy Bar-Shalom · Yam Eitan · Fabrizio Frasca · Haggai Maron
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Oral Session
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Fri 10:00
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Oral Session 5B: Graph Neural Networks, Causal Inference
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Poster
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Thu 11:00
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Graph Coarsening with Message-Passing Guarantees
Antonin Joly · Nicolas Keriven
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Poster
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Wed 16:30
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HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning
Yancheng Zhang · Mengxin Zheng · Yuzhang Shang · Xun Chen · Qian Lou
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Affinity Event
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Out-of-Distribution performance as a proxy metric for graph neural network explainers in the absence of ground-truth explanations
Guadalupe Gonzalez · Chirag Agarwal · Siddharth Betala
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Affinity Event
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GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
Celia Rubio-Madrigal · Adarsh Jamadandi · Rebekka Burkholz
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Affinity Event
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Toward Comprehensive Neural Network Robustness
Fatemeh Amerehi · Patrick Healy
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