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Found 6 papers, 4 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.
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.
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)
Frustratingly Short Attention Spans in Neural Language Modeling
This vector is used both for predicting the next token as well as for the key and value of a differentiable memory of a token history.
