| 1 |
SIGIR'2020 |
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates |
Yes |
Multi-channel, Attention mechanism |
| 2 |
SIGIR'2020 |
Disentangled Graph Collaborative Filtering |
Yes |
Graph neural network |
| 3 |
SIGIR'2023 |
Disentangled Contrastive Collaborative Filtering |
Yes |
|
| 4 |
SIGIR'2024 |
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering |
Yes |
|
| 5 |
ACM Transactions on Information Systems_2023 (IF:5.4) |
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement |
No |
Knowledge graph, Relation aggregation |
| 6 |
Applied Intelligence_2023 (IF:5.3) |
Entity-driven user intent inference for knowledge graph-based recommendation |
No |
Knowledge Graph |
| 7 |
Applied Intelligence_2023 (IF:5.3) |
FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks |
No |
Graph neural network |
| 8 |
ACL'2020 |
Graph Neural News Recommendation with Unsupervised Preference Disentanglement |
No |
Graph neural network |
| 9 |
IEEE Transactions on Knowledge and Data Engineering_2022 (IF: 11.7) |
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation |
No |
Meta-Paths, HIN, Causal intervention, Graph neural network |
| 10 |
IEEE Transactions on Knowledge and Data Engineering_2022 (IF: 11.7) |
Intent Disentanglement and Feature Self-supervision for Novel Recommendation |
Yes |
Custom pipeline, Special disentangling approach |
| 11 |
IEEE Transactions on Multimedia_2022 (IF: 8.2) |
Hierarchical User Intent Graph Network for Multimedia Recommendation |
Yes |
GNN, GCN |
| 12 |
ICDE'2022 |
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation |
No |
Disentangling, Clustering, Contrastive learning |
| 13 |
WWW'2021 |
Learning Intents behind Interactions with Knowledge Graph for Recommendation |
Yes |
Graph neural network, Knowledge graph |