output
20082026
most citedUnifying Large Language Models and Knowledge Graphs: A Roadmap

1.2k citations

Showing 2022 · cs.LGShow all

5 papers · 2 filters

cs.LG2022★ 7 cited

A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning

Lang Qin, Rui Yan, Huajin Tang

In recent years, spiking neural networks (SNNs) have been used in reinforcement learning (RL) due to their low power consumption and event-driven features. However, spiking reinfor…

cs.LG2022★ 152 cited

Twin Contrastive Learning for Online Clustering

Yunfan Li, Mouxing Yang, Dezhong Peng +3

This paper proposes to perform online clustering by conducting twin contrastive learning (TCL) at the instance and cluster level. Specifically, we find that when the data is projec…

cs.LG2022★ 40 cited

Piecewise Linear Neural Networks and Deep Learning

Qinghua Tao, Li Li, Xiaolin Huang +3

As a powerful modelling method, PieceWise Linear Neural Networks (PWLNNs) have proven successful in various fields, most recently in deep learning. To apply PWLNN methods, both the…

cs.LG2022★ 4 cited

Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs

Shaoxian Xu, Zhiyuan Shao, Ci Yang +2

The emerging Graph Convolutional Network (GCN) has now been widely used in many domains, and it is challenging to improve the efficiencies of applications by accelerating the GCN t…

cs.LG2022★ 96 cited

Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction

Zipeng Zhong, Jie Song, Zunlei Feng +6

Chemical reaction prediction, involving forward synthesis and retrosynthesis prediction, is a fundamental problem in organic synthesis. A popular computational paradigm formulates…