Fan Mo

15 papers A* 1C 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency.
AAAI
Rongqin Chen, Fan Mo, Pak Lon Ip, Shenghui Zhang, Dan Wu, Ye Li, Leong Hou U
2025 J jnl
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency.
CoRR
Rongqin Chen, Fan Mo, Pak Lon Ip, Shenghui Zhang, Dan Wu, Ye Li, Leong Hou U
2025 — conf
Enhanced Subgraph Learning in 2-FWL GNNs via Local Connectivity, Spectral, and Distance Encodings.
KDD (2)
Rongqin Chen, Yan Li, Dan Wu, Fan Mo, Shenghui Zhang, Pak Lon Ip, Hoi Cheong Iam, Ye Li, Leong Hou U
2025 J jnl
Light distillation for Incremental Graph Convolution Collaborative Filtering.
CoRR
X. Fan, Fan Mo, Chongxian Chen, Hayato Yamana
2025 J jnl
Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment.
CoRR
Chongxian Chen, Fan Mo, Xin Fan, Hayato Yamana
2025 J jnl
Synergistic fusion framework: Integrating training and non-training processes for accelerated graph convolution network-based recommendation.
Pattern Recognit.
Fan Mo, Xin Fan, Chongxian Chen, Hayato Yamana
2024 — conf
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models.
SIGIR-AP
Yuxiang Zhang, Xin Fan, Junjie Wang, Chongxian Chen, Fan Mo, Tetsuya Sakai, Hayato Yamana
2024 J jnl
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models.
CoRR
Yuxiang Zhang, Xin Fan, Junjie Wang, Chongxian Chen, Fan Mo, Tetsuya Sakai, Hayato Yamana
2024 J jnl
Sampling-based epoch differentiation calibrated graph convolution network for point-of-interest recommendation.
Neurocomputing
Fan Mo, Xin Fan, Chongxian Chen, Changhao Bai, Hayato Yamana
2023 J jnl
EPT-GCN: Edge propagation-based time-aware graph convolution network for POI recommendation.
Neurocomputing
Fan Mo, Hayato Yamana
2022 — conf
Decoy Effect of Recommendation Systems on Real E-commerce Websites.
IntRS@RecSys
Fan Mo, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana
2022 C conf
GN-GCN: Combining Geographical Neighbor Concept with Graph Convolution Network for POI Recommendation.
iiWAS
Fan Mo, Hayato Yamana
2021 — conf
Real-time Periodic Advertisement Recommendation Optimization under Delivery Constraint using Quantum-inspired Computer.
ICEIS (1)
Fan Mo, Huida Jiao, Shun Morisawa, Makoto Nakamura, Koichi Kimura, Hisanori Fujisawa, Masafumi Ohtsuka, Hayato Yamana
2020 — conf
Real-Time Periodic Advertisement Recommendation Optimization using Ising Machine.
IEEE BigData
Fan Mo, Huida Jiao, Shun Morisawa, Makoto Nakamura, Koichi Kimura, Hisanori Fujisawa, Masafumi Ohtsuka, Hayato Yamana
2019 — conf
Point of Interest Recommendation by Exploiting Geographical Weighted Center and Categorical Preference.
ICDM Workshops
Fan Mo, Hayato Yamana