The poster session is available by clicking the bleu "Link ≫" at the bottom.
List of posters:
Poster 3: FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks, Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram and Salman Avestimehr
Poster 4: IGNNITION: A framework for fast prototyping of Graph Neural Networks, David Pujol-Perich, José Suárez-Varela, Miquel Ferriol-Galmés, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio and Pere Barlet-Ros
Poster 5: Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions, Shyam Tailor, Felix Opolka, Pietro Lio and Nicholas Lane
Poster 7: NetXplain: Real-time explainability of Graph Neural Networks applied to Computer Networks, David Pujol-Perich, José Suárez-Varela, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio and Pere Barlet-Ros
Poster 8: Efficient Data Loader for Fast Sampling-based GNN Training on Large Graphs, Youhui Bai, Cheng Li, Zhiqi Lin, Yufei Wu, Youshan Miao, Yunxin Liu and Yinlong Xu
Poster 9: Directional Graph Networks, Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso and Pietro Lio
Poster 10: Graphiler: A Compiler for Graph Neural Networks, Zhiqiang Xie, Zihao Ye, Minjie Wang, Zheng Zhang and Rui Fan
Poster 12: Analyzing the Performance of Graph Neural Networks with Pipe Parallelism, Matthew T. Dearing and Xiaoyan Wang
Poster 14: Reducing Communication in Graph Neural Network Training, Alok Tripathy, Katherine Yelick and Aydin Buluc
Poster 15: Deep Graph Learning for Program Analysis and System Optimization, Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Shahin Nazarian and Paul Bogdan
Poster 16: Efficent Distribution for Deep Learning on Large Graphs, Loc Hoang, Xuhao Chen, Hochan Lee, Roshan Dathathri, Gurbinder Gill and Keshav Pingali
Poster 18: Adaptive Load Balancing for Parallel GNN Training, Qidong Su, Minjie Wang, Da Zheng and Zheng Zhang
Poster 19: Privacy-Preserving Heterogeneous Network Embedding for Clinical Events, Gustavo Lima de Oliveira, Ricardo Marcondes Marcacini and Maria da Graça Campos Pimentel
PDF of the papers: https://gnnsys.github.io/#papers