Zobrazeno 1 - 10
of 979
pro vyhledávání: '"ZHANG, HAIWEI"'
Heterogeneous graphs have attracted a lot of research interests recently due to the success for representing complex real-world systems. However, existing methods have two pain points in embedding them into low-dimensional spaces: the mixing of struc
Externí odkaz:
http://arxiv.org/abs/2406.10367
Graph Transformers (GTs) have made remarkable achievements in graph-level tasks. However, most existing works regard graph structures as a form of guidance or bias for enhancing node representations, which focuses on node-central perspectives and lac
Externí odkaz:
http://arxiv.org/abs/2404.11869
Autor:
Zhang, Haiwei, Zhang, Jiqing, Dong, Bo, Peers, Pieter, Wu, Wenwei, Wei, Xiaopeng, Heide, Felix, Yang, Xin
Publikováno v:
Special Interest Group for Computer GRAPHICS,2023
We introduce a wearable single-eye emotion recognition device and a real-time approach to recognizing emotions from partial observations of an emotion that is robust to changes in lighting conditions. At the heart of our method is a bio-inspired even
Externí odkaz:
http://arxiv.org/abs/2310.04043
Entity Alignment (EA) aims to find the equivalent entities between two Knowledge Graphs (KGs). Existing methods usually encode the triples of entities as embeddings and learn to align the embeddings, which prevents the direct interaction between the
Externí odkaz:
http://arxiv.org/abs/2305.11501
Publikováno v:
WWW '23: Proceedings of the ACM Web Conference 2023 (523-532)
Temporal link prediction, aiming to predict future edges between paired nodes in a dynamic graph, is of vital importance in diverse applications. However, existing methods are mainly built upon uniform Euclidean space, which has been found to be conf
Externí odkaz:
http://arxiv.org/abs/2304.07302
Publikováno v:
The Semantic Web-ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings (pp. 179-195)
Temporal heterogeneous information network (temporal HIN) embedding, aiming to represent various types of nodes of different timestamps into low dimensional spaces while preserving structural and semantic information, is of vital importance in divers
Externí odkaz:
http://arxiv.org/abs/2304.06970
Multimodal knowledge graph completion (MKGC) aims to predict missing entities in MKGs. Previous works usually share relation representation across modalities. This results in mutual interference between modalities during training, since for a pair of
Externí odkaz:
http://arxiv.org/abs/2210.08821
Autor:
Koltai, Gabriella, Spötl, Christoph, Rinyu, László, Honiat, Charlotte, Racine, Tanguy, Zhang, Haiwei, Krüger, Yves, Dublyansky, Yuri
Publikováno v:
In Chemical Geology 20 December 2024 670
Autor:
Zhang, Zan, Zhuo, Jicheng, Niu, Kunning, Sang, Peng, Wang, Shenglong, Zhang, Haiwei, Li, Yongsheng
Publikováno v:
In Materials & Design December 2024 248
Publikováno v:
In Construction and Building Materials 29 November 2024 453