William L. Hamilton

According to our database1, William L. Hamilton authored at least 30 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks.
CoRR, 2018

Deep Graph Infomax.
CoRR, 2018

Hierarchical Graph Representation Learning with Differentiable Pooling.
CoRR, 2018

Graph Convolutional Neural Networks for Web-Scale Recommender Systems.
CoRR, 2018

Querying Complex Networks in Vector Space.
CoRR, 2018

Community Interaction and Conflict on the Web.
CoRR, 2018

GraphRNN: A Deep Generative Model for Graphs.
CoRR, 2018

Community Interaction and Conflict on the Web.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Graph Convolutional Neural Networks for Web-Scale Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Representation Learning on Graphs: Methods and Applications.
IEEE Data Eng. Bull., 2017

Representation Learning on Graphs: Methods and Applications.
CoRR, 2017

Community Identity and User Engagement in a Multi-Community Landscape.
CoRR, 2017

Loyalty in Online Communities.
CoRR, 2017

Inductive Representation Learning on Large Graphs.
CoRR, 2017

Inductive Representation Learning on Large Graphs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Community Identity and User Engagement in a Multi-Community Landscape.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Loyalty in Online Communities.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change.
CoRR, 2016

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change.
CoRR, 2016

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
CoRR, 2016

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Learning Linguistic Descriptors of User Roles in Online Communities.
Proceedings of the First Workshop on NLP and Computational Social Science, 2016

2014
Efficient learning and planning with compressed predictive states.
Journal of Machine Learning Research, 2014

Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Efficient Learning and Planning with Compressed Predictive States.
CoRR, 2013

Modelling Sparse Dynamical Systems with Compressed Predictive State Representations.
Proceedings of the 30th International Conference on Machine Learning, 2013


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