Towards Better Evaluation for Dynamic Link Prediction

Towards Better Evaluation for Dynamic Link Prediction

20 July 2022

Farimah Poursafaei

Kellin Pelrine

Reihaneh Rabbany

Papers citing "Towards Better Evaluation for Dynamic Link Prediction"

15 / 15 papers shown

Title
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities Pengfei Jiao Hongjiang Chen Xuan Guo Zhidong Zhao Dongxiao He Di Jin AI4CE 31 0 0 07 May 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Xiang Wu Xunkai Li Rong-Hua Li Kangfei Zhao Guoren Wang AI4TS AI4CE 59 0 0 27 Jan 2025
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours Yuxin Yang Hongkuan Zhou Rajgopal Kannan Viktor Prasanna 46 0 0 31 Dec 2024
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models Zifeng Ding Yifeng Li Yuan He Antonio Norelli Jingcheng Wu Volker Tresp Yunpu Ma Michael Bronstein Mamba 51 3 0 08 Aug 2024
Efficient Neural Common Neighbor for Temporal Graph Link Prediction Xiaohui Zhang Yanbo Wang Xiyuan Wang Muhan Zhang 36 2 0 12 Jun 2024
Gaussian Embedding of Temporal Networks Raphaël Romero Jefrey Lijffijt Riccardo Rastelli Marco Corneli Tijl De Bie 39 1 0 27 May 2024
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges ZhengZhao Feng Rui Wang TianXing Wang Mingli Song Sai Wu Shuibing He AI4CE 32 10 0 01 May 2024
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 35 6 0 30 Nov 2023
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs Raphaël Romero T. D. Bie Jefrey Lijffijt 26 0 0 30 Nov 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training Hongkuan Zhou Da Zheng Xiang Song George Karypis Viktor Prasanna GNN 29 13 0 14 Jul 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers Alan John Varghese Aniruddha Bora Mengjia Xu George Karniadakis 36 5 0 05 Jul 2023
A source separation approach to temporal graph modelling for computer networks Corentin Larroche 24 0 0 28 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 29 99 0 23 Mar 2023
TIGER: Temporal Interaction Graph Embedding with Restarts Yao Zhang Yun Xiong Yongxiang Liao Yiheng Sun Yucheng Jin Xuehao Zheng Yangyong Zhu 22 24 0 13 Feb 2023
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 918 0 02 Mar 2020