research
∙
12/21/2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
The core operation of current Graph Neural Networks (GNNs) is the aggreg...
share
research
∙
10/14/2022
Revisiting Heterophily For Graph Neural Networks
Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using...
research
∙
03/21/2022
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL
In reinforcement learning, the graph Laplacian has proved to be a valuab...
research
∙
09/12/2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using...
research
∙
06/03/2021
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
We present an end-to-end, model-based deep reinforcement learning agent ...
research
∙
08/20/2020
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
The core operation of Graph Neural Networks (GNNs) is the aggregation en...
research
∙
08/20/2020
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
The performance limit of Graph Convolutional Networks (GCNs) and the fac...
research
∙
06/16/2020
META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning
Temporal-Difference (TD) learning is a standard and very successful rein...
research
∙
10/15/2019
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
Image captioning is a research hotspot where encoder-decoder models comb...
research
∙
06/05/2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Recently, neural network based approaches have achieved significant impr...
research
∙
04/25/2019
Faster and More Accurate Learning with Meta Trace Adaptation
Learning speed and accuracy are of universal interest for reinforcement ...
research
∙
04/12/2019
A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation
The infeasible parts of the objective space in difficult many-objective ...
research
∙
12/17/2018
Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization
Out of practical concerns and with the expectation to achieve high overa...
research
∙
03/03/2018
