Hamilton, William L.

Inductive Representation Learning on Large Graphs

Hamilton, W. L., Ying, R., & Leskovec, J. (2017) · arXiv

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 10,639

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Ying, R., He, R., Chen, K., Eksombatchai, P., Hamilton, W. L., & Leskovec, J. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 3,733

Language from police body camera footage shows racial disparities in officer respect

Voigt, R., Camp, N. P., Prabhakaran, V., Hamilton, W. L., Hetey, R. C., Griffiths, C. M., Jurgens, D., Jurafsky, D., & Eberhardt, J. L. (2017) · Proceedings of the National Academy of Sciences

Policing Practices and PerceptionsLanguage, Discourse, Communication Strategies

Cited by 407

Embedding Logical Queries on Knowledge Graphs

Hamilton, W. L., Bajaj, P., Zitnik, M., Jurafsky, D., & Leskovec, J. (2018) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 176

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Wu, J., Cao, M., Cheung, J. C. K., & Hamilton, W. L. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Advanced Graph Neural NetworksTopic Modeling

Cited by 167

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Sinha, K., Sodhani, S., Dong, J., Pineau, J., & Hamilton, W. L. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 110