Search Results for author:
Found 7 papers, 5 papers with code
Temporal graph models fail to capture global temporal dynamics
We outline our observations and propose a trivial optimization-free baseline of "recently popular nodes" outperforming other methods on medium and large-size datasets in the Temporal Graph Benchmark.
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings
Recent years brought an increasing interest in the application of machine learning algorithms in e-commerce, omnichannel marketing, and the sales industry.
Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model
Each data point contains multiple sources of information, such as tweet text along with engagement features, user features, and tweet features.
Modeling Multi-Destination Trips with Sketch-Based Model
The recently proposed EMDE (Efficient Manifold Density Estimator) model achieves state of-the-art results in session-based recommendation.
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
We show that Cleora learns a data abstraction that is similar to contrastive methods, yet at much lower computational cost.
Ranked #2 on
Node Classification
on YouTube
I know why you like this movie: Interpretable Efficient Multimodal Recommender
Recently, the Efficient Manifold Density Estimator (EMDE) model has been introduced.
An efficient manifold density estimator for all recommendation systems
Many unsupervised representation learning methods belong to the class of similarity learning models.
Ranked #1 on
Session-Based Recommendations
on yoochoose1
(using extra training data)
