Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning

no code implementations • ECCV 2020 • Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu

There are two challenges.

Data Augmentation MULTI-VIEW LEARNING +1

Equivariant Hypergraph Diffusion Neural Operators

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.

Computational Efficiency Node Classification

Neural Predicting Higher-order Patterns in Temporal Networks

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.

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

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.

Representation Learning Retrieval

Aspect-based Sentiment Classification via Reinforcement Learning

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.

Classification General Classification +4