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Found 6 papers, 3 papers with code
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Graph neural network (GNN) and label propagation algorithm (LPA) are both message passing algorithms, which have achieved superior performance in semi-supervised classification.
Ranked #1 on
Node Property Prediction
on ogbn-proteins
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
Notably, it averagely brings about 10% relative improvement to triplet-based embedding methods on OGBL-WikiKG2 and takes 5%-83% time to achieve comparable results as the state-of-the-art GC-OTE.
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
To address this gap and promote the development of microscopic traffic flow modeling, we establish a public benchmark dataset for car-following behavior modeling.
Adam revisited: a weighted past gradients perspective
Though many algorithms, such as AMSGRAD and ADAMNC, have been proposed to fix the non-convergence issues, achieving a data-dependent regret bound similar to or better than ADAGRAD is still a challenge to these methods.
NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC
In addition to the representations, we also use various statistical probabilities among the head entities, the relations and the tail entities for the final prediction.
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
Quantum computing revolutionizes the way of solving complex problems and handling vast datasets, which shows great potential to accelerate the machine learning process.
