Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Improving the accuracy of co-citation clustering using full text
Citation Proximity Analysis (CPA) -- A new approach for identifying related work based on Co-Citation Analysis
Finding Influential Papers in Citation Networks
Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks
Scientific Collaborator Recommendation in Heterogeneous Bibliographic Networks
RefSeer: A citation recommendation system
Predicting Citation Counts for Academic Literature Using Graph Pattern Mining
Name disambiguation in author citations using a K-way spectral clustering method
AN EFFICIENT APPROACH FOR SEMANTICALLY - ENHANCED DOCUMENT CLUSTERING BY USING WIKIPEDIA LINK STRUCTURE
a discriminative approach to topic - based citation recommendation .
Node similarity in the citation graph
Citation Recommendation Using Distributed Representation of Discourse Facets in Scientific Articles
Citation chain aggregation: an interaction model to support citation cycling
Fast and effective text mining using linear-time document clustering
Conceptual Impact-Based Recommender System for CiteSeerx
Scientific Article Recommendation by using Distributed Representations of Text and Graph
Exploring the Leading Authors and Journals in Major Topics by Citation Sentences and Topic Modeling
Deep context of citations using machine-learning models in scholarly full-text articles
Joint latent topic models for text and citations
Incidental or influential? - Challenges in automatically detecting citation importance using publication full texts
A scalable collaborative filtering framework based on co-clustering
An Annotation Scheme For Citation Function
Temporal Reasoning Over Event Knowledge Graphs
Combining Representation Learning with Logic for Language Processing
Deep Learning in Customer Churn Prediction: Unsupervised Feature Learning on Abstract Company Independent Feature Vectors
Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks