Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning
Efficient graphlet kernels for large graph comparison
Generalised Kernel Machines
Graph-Margin Based Multi-label Feature Selection
Large-Scale Kernel Machines
Random subspace method for multivariate feature selection
Subgraph Matching Kernels for Attributed Graphs
Statistical Selection of Congruent Subspaces for Mining Attributed Graphs
Greedy feature selection for subspace clustering
Distance Metric Learning for Kernel Machines
Multiple kernel learning algorithms
Fast Approximate k NN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection
A review of automatic selection methods for machine learning algorithms and hyper-parameter values
EasyMKL: A scalable multiple kernel learning algorithm
Shortest-path kernels on graphs
Unsupervised learning on k-partite graphs
Scalable Hypergraph Learning and Processing
Learning with hypergraphs: Clustering, classification, and embedding
Graph self-representation method for unsupervised feature selection
An Efficient Sampling Scheme For Comparison of Large Graphs
Frequent subgraph mining algorithms for single large graphs — A brief survey
learning semantic similarity .
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
An empirical Bayes approach to inferring large-scale gene association networks
Trajectory Optimization in Discrete Mechanics
Effects of dihydrocapsiate on adaptive and diet-induced thermogenesis with a high protein very low calorie diet: a randomized control trial