most citedSimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Monocular Localization with Semantics Map for Autonomous Vehicles

Jixiang Wan, Xudong Zhang, Shuzhou Dong +7

Accurate and robust localization remains a significant challenge for autonomous vehicles. The cost of sensors and limitations in local computational efficiency make it difficult to…

cs.CL2024

Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations

Shen Zhang, Haojie Zhang, Jing Zhang +3

In human-computer interaction, it is crucial for agents to respond to human by understanding their emotions. Unraveling the causes of emotions is more challenging. A new task named…

cs.LG2023

Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help

Yunbo Qiu, Yue Jin, Lebin Yu +2

Multi-agent reinforcement learning (MARL) has achieved great progress in cooperative tasks in recent years. However, in the local reward scheme, where only local rewards for each a…

cs.MA2023

Improving Zero-Shot Coordination Performance Based on Policy Similarity

Lebin Yu, Yunbo Qiu, Quanming Yao +2

Over these years, multi-agent reinforcement learning has achieved remarkable performance in multi-agent planning and scheduling tasks. It typically follows the self-play setting, w…

cs.IR20233 cited

SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation

Yuan Cao, Xudong Zhang, Fan Zhang +5

Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers. Existing graph-bas…