Linkless Link Prediction via Relational Distillation

Linkless Link Prediction via Relational Distillation

11 October 2022

Nitesh V. Chawla

Papers citing "Linkless Link Prediction via Relational Distillation"

19 / 19 papers shown

Title
Efficient Traffic Prediction Through Spatio-Temporal Distillation Qianru Zhang Xinyi Gao Haixin Wang Siu-Ming Yiu Hongzhi Yin AI4TS 40 2 0 15 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 60 4 0 31 Dec 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 52 0 0 03 Nov 2024
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective Wencheng Zhu Xin Zhou Pengfei Zhu Yu Wang Qinghua Hu VLM 64 1 0 22 Apr 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 42 4 0 27 Mar 2024
Universal Link Predictor By In-Context Learning on Graphs Kaiwen Dong Haitao Mao Zhichun Guo Nitesh V. Chawla 31 4 0 12 Feb 2024
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method Yulan Hu Ouyang Sheng Jingyu Liu Ge Chen Zhirui Yang Junchen Wan Fuzheng Zhang Zhongyuan Wang Yong Liu 31 0 0 23 Oct 2023
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection Zijian Cai Zhaoxuan Tan Zhenyu Lei Zifeng Zhu Hongrui Wang Qinghua Zheng Minnan Luo 23 15 0 30 Jun 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 21 28 0 01 Feb 2023
FakeEdge: Alleviate Dataset Shift in Link Prediction Kaiwen Dong Yijun Tian Zhichun Guo Yang Yang Nitesh V. Chawla 23 12 0 29 Nov 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo Chunhui Zhang Yujie Fan Yijun Tian Chuxu Zhang Nitesh V. Chawla 21 32 0 12 Oct 2022
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 73 101 0 12 Aug 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 92 107 0 05 Jul 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh V. Chawla AI4CE 119 171 0 16 Feb 2021
Iterative Graph Self-Distillation Hanlin Zhang Shuai Lin Weiyang Liu Pan Zhou Jian Tang Xiaodan Liang Eric Xing SSL 57 33 0 23 Oct 2020
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher Guangda Ji Zhanxing Zhu 59 42 0 20 Oct 2020
Line Graph Neural Networks for Link Prediction Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 144 195 0 20 Oct 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 164 226 0 23 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018