Talk | KDD'23 Best Paper 港中文孙相国:All in One - 提示学习在图神经网络中的探索 公众号:将门创投(thejiangmen) 本期为TechBeat人工智能社区第532期线上Talk! 这次我“门”有幸邀请到,香港中文大学博后研究员—孙相国来到TechBeat人工智能社区,为我们分享主题为“提示学习在图神经网络中的探索”,Talk已在Tec...
In this paper, we propose a novel multi-task prompting method for graph models. Specifically, we first unify the format of graph prompts and language prompts with the prompt token, token structure, and inserting pattern. In this way, the prompting idea from NLP can be seamlessly introduced to...
assume that each client annotates its local data with respect to the same universal class set. In this paper, we focus on a more general yet practical setting, non-identical client class sets, where clients focus on their own (different or even non-overlapping) class sets and seek a...
assume that each client annotates its local data with respect to the same universal class set. In this paper, we focus on a more general yet practical setting, non-identical client class sets, where clients focus on their own (different or even ...
the Hinge + Rubber Ducky Labs team won the prize for second best hackathon project; the best paper award was won by the paper by Noble et al.; the best student paper award was won by the paper by Petr Kasalický et al.OrganizersThis event focuses on building in the open, and adding...
as the best performance is usually achieved by one-epoch training. In this paper, we hypothesize that the emergence of this phenomenon may be attributed to the susceptibility of the embedding layer to overfitting, which can stem from the high-dimensional sparsity of data. To maintain feature spar...
12. Graph Transformer for Recommendation, SIGIR2023 Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang https://arxiv.org/abs/2306.02330 This paper presents a novel approach to representation learning in recommender systems by integrating generative self-supervised learning with gra...
Abstract: In this paper, we propose an adaptive learning paradigm for resource-constrained cross-device federated learning, in which heterogeneous local submodels with varying resources can be jointly trained to produce a global model. Different from existing studies, the submodel structures of differen...
所以Best是理所应当的，这贡献完全和其投入成本是分不开的，换了别的团队很难有资源和魄力做这样的...
the Hinge + Rubber Ducky Labs team won the prize for second best hackathon project; the best paper award was won by the paper by Noble et al.; the best student paper award was won by the paper by Petr Kasalický et al.OrganizersThis event focuses on building in the open, and adding...