NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams

no code implementations • 5 Dec 2023 • Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu

Though many dynamic GNN models have emerged to learn from evolving graphs, the training process of these dynamic GNNs is dramatically different from traditional GNNs in that it captures both the spatial and temporal dependencies of graph updates.

MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning

no code implementations • ICLR 2020 • Yanyan Liang, Yanfeng Zhang, Dechao Gao, Qian Xu

This motivates us to use a multiplex structure in a diverse way and utilize a priori properties of graphs to guide the learning.

Clustering General Classification +3