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Affinity Workshop
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Mon 7:10
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Oral Presentation 3: Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Ana María Quintero-Ossa
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Poster
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Tue 14:00
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Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
GE ZHANG · Zhenyu Yang · Jia Wu · Jian Yang · Shan Xue · Hao Peng · Jianlin Su · Chuan Zhou · Quan Z. Sheng · Leman Akoglu · Charu Aggarwal
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Workshop
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A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
Zifeng Ding · Yunpu Ma · Bailan He · Zhen Han · Volker Tresp
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Poster
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Thu 9:00
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Periodic Graph Transformers for Crystal Material Property Prediction
Keqiang Yan · Yi Liu · Yuchao Lin · Shuiwang Ji
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Workshop
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Generalized Laplacian Positional Encoding for Graph Representation Learning
Sohir Maskey · Ali Parviz · Maximilian Thiessen · Hannes Stärk · Ylli Sadikaj · Haggai Maron
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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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Workshop
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The Ineffectiveness of TKGE Models in Encoding Real-World Knowledge Graphs
Chuan Ming Ong · Jiahao Sun · Ovidiu Serban · Yike Guo
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Poster
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NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis
Jun Zeng · Mingyang Kou · Hailong Yao
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Poster
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Wed 9:00
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Implicit Neural Representations with Levels-of-Experts
Zekun Hao · Arun Mallya · Serge Belongie · Ming-Yu Liu
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Poster
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Wed 9:00
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Discovering Design Concepts for CAD Sketches
Yuezhi Yang · Hao Pan
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Workshop
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Neural Coarsening Process for Multi-level Graph Combinatorial Optimization
Hyeonah Kim · Minsu Kim · Changhyun Kwon · Jinkyoo Park
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Workshop
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Predicting electrolyte solution properties by combining neural network accelerated molecular dynamics and continuum solvent theory.
Timothy T Duignan · Junji Zhang · Joshua Pagotto
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