Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach

9 October 2021

Papers citing "Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach"

19 / 19 papers shown

Title
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 52 0 0 23 Jan 2025
Retrieval-Oriented Knowledge for Click-Through Rate Prediction Huanshuo Liu Bo Chen Menghui Zhu Jianghao Lin Jiarui Qin Yang Yang Hao Zhang Ruiming Tang 14 3 0 28 Apr 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning Man Wu Xin-Yang Zheng Qin Zhang Xiao Shen Xiong Luo Xingquan Zhu Shirui Pan OOD 65 6 0 26 Feb 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 25 7 0 04 Jan 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 30 3 0 25 Dec 2023
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach Wujiang Xu Xuying Ning Wenfang Lin Mingming Ha Qiongxu Ma Qianqiao Liang Xuewen Tao Lin Chen Bing Han Minnan Luo 12 5 0 08 Nov 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 17 12 0 20 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 17 206 0 14 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 22 7 0 06 Jun 2023
TabGSL: Graph Structure Learning for Tabular Data Prediction Jay Chiehen Liao Cheng Li LMTD 16 5 0 25 May 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 14 56 0 06 Feb 2023
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 16 7 0 26 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu Nikola Simidjievski Pietro Lio' M. Jamnik DD AI4CE 17 5 0 11 Nov 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 11 22 0 24 Oct 2022
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation Kounianhua Du Weinan Zhang Ruiwen Zhou Yangkun Wang Xilong Zhao Jiarui Jin Quan Gan Zheng-Wei Zhang David Wipf AI4TS 13 9 0 14 Jun 2022
Online Deep Learning from Doubly-Streaming Data H. Lian John Scovil Atwood Bo-Jian Hou Jian Wu Yi He 13 10 0 25 Apr 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks Minji Yoon John Palowitch Dustin Zelle Ziniu Hu Ruslan Salakhutdinov Bryan Perozzi 21 13 0 03 Mar 2022
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 828 0 28 Sep 2019
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 786 0 19 Feb 2009