Welcome to The Eighth International Workshop on Deep Learning on Graphs (DLG-KDD'22)!
- Zepeng Zhang and Ziping Zhao. Designing Graph Neural Networks via Algorithm Unrolling [Link]
- Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu and Isabelle Guyon. Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020.[Link]
- Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov and Bryan Perozzi. Zero-shot Transfer Learning on Heterogeneous Graphs via Knowledge Transfer Networks.[Link]
- Jiaqi Ma, Ziqiao Ma, Joyce Chai and Qiaozhu Mei. Partition-Based Active Learning for Graph Neural Networks. [Link]
- Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu and Xi Zheng. GPS: A Policy-driven Sampling Approach for Graph Representation Learning.[Link]
- Zhixun Li, Dingshuo Chen, Qiang Liu and Shu Wu. Disentangled Information Graph Neural Networks for Fraud Detection.[Link]
- Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael Schaub and Danai Koutra. On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods.[Link]
- Yuchen Liang, Dmitry Krotov and Mohammed Zaki. Associative Learning for Network Embedding.[Link]
- Zhongren Chen, Xinyue Xu, Shengyi Jiang, Hao Wang and Lu Mi. Subgraph Frequency Distribution Estimation using Graph Neural Networks.[Link]
- Bo Pan, Yuanqi Du, Shiyu Wang, William M. Wuest, Yinkai Wang, Shiva Ghaemi, Saleh Alkhalifa, Ashley Petersen, Xuanyang Lin, Aowei Ding, Kevin PC Minbiole, Austin Leitgeb Amarda Shehu, Liang Zhao. Property-Controllable Generation of Quaternary Ammonium Compounds.[Link]
- Lucas Payne and Mengjun Xie. Anomaly Detection in Log Files Using Graph Neural Networks.[Link]
- Sai Munikoti, Deepesh Agarwal, Laya Das and Balasubramaniam Natarajan. A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks.[Link]
- Xu Wang, Huan Zhao, Lanning Wei and Quanming Yao. Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search.[Link]
- John Palowitch, Anton Tsitsulin, Brandon Mayer and Bryan Perozzi. Robust Synthetic GNN Benchmarks with GraphWorld.[Link]