# An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022

Source: [An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022](<https://www.sota2.com/research/paper/68fa6bf61e209131cea31417>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-12-25T07:47:14.256Z

Authors: Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi

Published: 2022-03-01T03:55:19.000Z

## Abstract

Temporal link prediction, as one of the most crucial work in temporal graphs, has attracted lots of attention from the research area. The WSDM Cup 2022 seeks for solutions that predict the existence probabilities of edges within time spans over temporal graph. This paper introduces the solution of AntGraph, which wins the 1st place in the competition. We first analysis the theoretical upper-bound of the performance by removing temporal information, which implies that only structure and attribute information on the graph could achieve great performance. Based on this hypothesis, then we introduce several well-designed features. Finally, experiments conducted on the competition datasets show the superiority of our proposal, which achieved AUC score of 0.666 on dataset A and 0.902 on dataset B, the ablation studies also prove the efficiency of each feature. Code is publicly available at https://github.com/im0qianqian/WSDM2022TGP-AntGraph.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Temporal Link Prediction on Dataset A WSDM Challenge 2022](<https://www.sota2.com/research/sota/temporal-link-prediction-on-dataset-a-wsdm-challenge-2022.md>): Temporal Link Prediction; Dataset A WSDM Challenge 2022; Initial AUC: 0.6657.

- [Temporal Link Prediction on Dataset B WSDM 2022 Challenge](<https://www.sota2.com/research/sota/temporal-link-prediction-on-dataset-b-wsdm-2022-challenge.md>): Temporal Link Prediction; Dataset B WSDM 2022 Challenge; Initial AUC: 0.6504.

- [Temporal Link Prediction on WSDM Cup '22 Dataset A Final Leaderboard (test)](<https://www.sota2.com/research/sota/temporal-link-prediction-on-wsdm-cup-22-dataset-a-final-leaderboard-test.md>): Temporal Link Prediction; WSDM Cup '22 Dataset A Final Leaderboard (test); Final AUC: 0.666001.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2203.01820>)

[PDF](<https://arxiv.org/pdf/2203.01820.pdf>)

[Implementation](<https://github.com/im0qianqian/WSDM2022TGP-AntGraph>)