Workshop

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang · Chao Huang · Yijun Tian · Qianlong Wen · Zhongyu Ouyang · Youhuan Li · Yanfang Ye · Chuxu Zhang

Poster

Wed 14:00

Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi · Ekdeep S Lubana · Mark Heimann · Danai Koutra · Jayaraman Thiagarajan

Workshop

Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks
Samuel Leventhal · Attila Gyulassy · Valerio Pascucci · Mark Heimann

Poster

Tue 9:00

GraphQNTK: Quantum Neural Tangent Kernel for Graph Data
Yehui Tang · Junchi Yan

Workshop

Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
Han-Bo Li · Ramon Viñas Torné · Pietro Lió

Poster

Wed 9:00

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
Ivan Marisca · Andrea Cini · Cesare Alippi

Workshop

Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks
Han-Bo Li · Ramon Viñas Torné · Pietro Lió

Workshop

Positional Encoder Graph Neural Networks for Geographic Data
Konstantin Klemmer · Nathan Safir · Daniel Neill

Poster

Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
Zhiyu Zhu · Junhui Hou · Xianqiang Lyu

Poster

Thu 14:00

First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye · Lemeng Wu · Qiang Liu

Poster

Tue 14:00

Neural Approximation of Graph Topological Features
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Yusu Wang · Chao Chen

Poster

Wed 9:00

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Ran Ran · Wei Wang · Quan Gang · Jieming Yin · Nuo Xu · Wujie Wen