Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices

1 June 2023

Papers citing "Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices"

8 / 8 papers shown

Title
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 36 0 0 02 Oct 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks Jiong Zhu Gaotang Li Yao-An Yang Jing Zhu Xuehao Cui Danai Koutra 37 3 0 26 Sep 2024
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation Yuhang Zhou Jing Zhu Paiheng Xu Xiaoyu Liu Xiyao Wang Danai Koutra Wei Ai Furong Huang 81 4 0 19 Jun 2024
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification Yuhang Zhou Paiheng Xu Xiaoyu Liu Bang An Wei Ai Furong Huang LRM 71 20 0 15 Nov 2023
Don't Make Your LLM an Evaluation Benchmark Cheater Kun Zhou Yutao Zhu Zhipeng Chen Wentong Chen Wayne Xin Zhao Xu Chen Yankai Lin Ji-Rong Wen Jiawei Han ELM 110 137 0 03 Nov 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 62 13 0 25 Sep 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 40 3 0 17 May 2023
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