1 code implementation • 14 Jul 2022 • Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
Hypergraph neural networks (HNNs) using neural networks to encode hypergraphs provide a promising way to model higher-order relations in data and further solve relevant prediction tasks built upon such higher-order relations.
2 code implementations • 10 Jun 2021 • Yunyu Liu, Jianzhu Ma, Pan Li
HIT extracts the structural representation of a node triplet of interest on the temporal hypergraph and uses it to tell what type of, when, and why the interaction expansion could happen in this triplet.
no code implementations • ICLR 2021 • Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
Temporal networks serve as abstractions of many real-world dynamic systems.
no code implementations • 1 Jan 2021 • Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
As texts always contain a large proportion of task-irrelevant words, accurate alignment between aspects and their sentimental descriptions is the most crucial and challenging step.