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13 Results
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Affinity Workshop
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De novo PROTAC design using graph-based deep generative models Divya Nori · Connor Coley · Rocío Mercado |
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Poster
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Wed 9:00 |
Discovering Design Concepts for CAD Sketches Yuezhi Yang · Hao Pan |
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Poster
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Wed 9:00 |
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias Zihan Liu · Yun Luo · Lirong Wu · Zicheng Liu · Stan Z. Li |
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Poster
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Versatile Multi-stage Graph Neural Network for Circuit Representation shuwen yang · Zhihao Yang · Dong Li · Yingxueff Zhang · Zhanguang Zhang · Guojie Song · Jianye Hao |
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Workshop
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Graph Contrastive Learning for Materials Teddy Koker · Keegan Quigley · Will Spaeth · Nathan Frey · Lin Li |
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Workshop
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Efficient Automatic Machine Learning via Design Graphs Shirley Wu · Jiaxuan You · Jure Leskovec · Rex Ying |
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Workshop
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Exploring the Design Space of Generative Diffusion Processes for Sparse Graphs Pierre-André Noël · Pau Rodriguez |
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Poster
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Thu 9:00 |
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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Workshop
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De novo PROTAC design using graph-based deep generative models Divya Nori · Connor Coley · Rocío Mercado |
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Affinity Workshop
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Self-Supervised Graph Representation Learning for chip design-partitioning on multi-FPGA platforms Divyasree T · Chiranjeevi Kunapareddy · Vikas Akalwadi · Rahul Govindan · Balaji G |
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Workshop
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PhAST: Physics-Aware, Scalable, and Task-specific GNNs for accelerated catalyst design ALEXANDRE DUVAL · Victor Schmidt · Alex Hernandez-Garcia · Santiago Miret · Yoshua Bengio · David Rolnick |
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Poster
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Wed 14:00 |
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators Kelsey Allen · Tatiana Lopez-Guevara · Kimberly Stachenfeld · Alvaro Sanchez Gonzalez · Peter Battaglia · Jessica Hamrick · Tobias Pfaff |