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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
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Blog Post number 2
Published:
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Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data
Published in IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015, 2015
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Improved MHP Analysis
Published in Proceedings of the 25th International Conference on Compiler Construction, CC 2016, Barcelona, Spain, March 12-18, 2016, 2016
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Predicting novel metabolic pathways through subgraph mining
Published in Bioinformatics, 2017
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Unsupervised Concept Categorization and Extraction from Scientific Document Titles
Published in Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, 2017
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An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering
Published in Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, 2018
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Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks
Published in 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019, 2019
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Meta-GNN: Metagraph Neural Network for Semi-supervised learning in Attributed Heterogeneous Information Networks
Published in IEEE/ACM 2019 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, Vancouver, Canada, August 27-30, 2019, 2019
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RASE: Relationship Aware Social Embedding
Published in International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, 2019
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DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
Published in International Conference on Web Search and Data Mining, WSDM 2020, Houston, TX, February 3-7, 2020, 2020
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Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Published in International Conference on Web Search and Data Mining, WSDM 2020, Houston, TX, February 3-7, 2020, 2020
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GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
Published in International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, July 25-30, 2020, 2020
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Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
Published in 2020 IEEE International Conference on Data Mining (ICDM), ICDM 2020, November 17-20, 2020, 2020
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Graph Neural Networks for Friend Ranking in Large-scale Social Platforms
Published in Proceedings of The Web Conference 2021, WWW 2021, Ljubljana, Slovenia, April 2021, 2021
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ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation
Published in RecSys 2021: Fifteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020, 2021
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Searching and Indexing in Large Datasets (Teaching Assistant)
Graduate Elective, Indian Institute of Technology, Madras, Computer Science and Engineering, 2015
Designed course assignments and conducted discussion sessions.
Data Mining (Teaching Assistant)
Graduate Elective, Indian Institute of Technology, Madras, Computer Science and Engineering, 2016
Designed course assignments and conducted discussion sessions.
Advanced Data Management (Teaching Assistant)
Graduate Course, University of Illinois, Urbana-Champaign, Computer Science, 2018
Designed programming assignments on Spark, Apache Kafka and drafted short weekly quizzes.
Database Systems (Teaching Assistant)
Graduate Course, University of Illinois, Urbana-Champaign, Computer Science, 2018
Designed course assignments, delivered tutorial lectures, mentored student projects, and co-developed an automated grader for MongoDB and Neo4J on PrairieLearn.
Social and Information Networks (Teaching Assistant)
Graduate Course, University of Illinois, Urbana-Champaign, Computer Science, 2020
Designed in-class worksheets (for interactive discussions), course assignments, and exams.
Computational Advertising (Teaching Assistant)
Graduate Course, University of Illinois, Urbana-Champaign, Computer Science, 2020
Designed in-class worksheets (for interactive discussions), course assignments, and mentored student projects.