| S.R. NO. | Title | Venue | Baselines | Datasets | Metrics | Code |
| 1 | From the Lab to Production: A Case Study of Session-based Recommendations in the Home-improvement Domain (Comparison study) | RecSys'20 | AR, SR, SKNN, V-SKNN, , STAN, V-STAN, CT, SMF, GRU4REC, STAMP, NEXTITNET, NARM, CSRM, SR-GNN | Outdoors, Tools, Appliances | HR@5, MRR@5, NDCG@5, Pre@5, Rec@5, MAP@5, Cov@5, Pop@5 | No |
| 2 | Next-item Recommendations in Short Sessions | RecSys'21 | RNN, STAMP, SR-GNN, SKNN, STAN, CSRM, HRNN, II-RNN, SASRec, BERT4Rec | Delicious, Reddit | Rec@(5,20), MRR@(5,20) | No |
| 3 | Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation | SIGIR'20 | FPMC, GRU4REC+BPR, GRU4REC+CE, NARM, STAMP, SR-GNN, RIB, KM-SR, M(GRU)-SR, M(GGNN)-SR, M-SR | KKBOX, JDATA, Demo | HR@20, MRR@20 | No |
| 4 | GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation | SIGIR'20 | POP, BPR-MF, S-POP, GRU4REC, NARM, SSRM, FGNN | LastFM, Gowala | HR@20, MRR@20 | No |
| 5 | Global Context Enhanced Graph Neural Networks for Session-based Recommendation | SIGIR'20 | POP, FPMC, Item-KNN, GRU4Rec, NARM, STAMP, SR-GNN, CSRM, FGNN | Diginetica, Tmall, Nowplaying | Pre@(10,20) MRR@(10,20) | Yes |
| 6 | Session-based Recommendation with Hierarchical Leaping Networks | SIGIR'20 | SPOP, SKNN, BPR-MF, FPMC, GRU4REC, STAMP, NARM, CSRM, SR-GNN | RSC15(1/64), RSC15(1/4), LastFm | MRR@(5,10), Rec@(5,10) | No |
| 7 | Rethinking Item Importance in Session-based Recommendation | SIGIR'20 | GRU4REC, Item-KNN, FPMC, S-POP, STAMP, NARM, CSRM, SR-GNN | RSC15, Diginetica | Rec@20, MRR@20 | No |
| 8 | An Intent-guided Collaborative Machine for Session-based Recommendation | SIGIR'20 | GRU4REC, FPMC, Item-KNN, S-POP, STAMP, NARM, SR-RNN-KNN, CSRM, GNN | RSC15, Diginetica | Rec@20, MRR@20 | No |
| 9 | TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation | SIGIR'20 | POP, BPR-MF, FPMC, GRU4REC, Item-KNN, S-POP, STAMP, NARM, SR-GNN | Diginetica, RSC15 | Pre@20, MRR@20 | Yes |
| 10 | Dual Attention Transfer in Session-based Recommendation with Multi-dimensional Integration | SIGIR'21 | POP, FPMC, GRU4Rec, Item-KNN, STAMP, NARM, SR-GNN, FGNN, GC-SAN, GCE-GNN | Diginetica, RSC15, Gowalla, Last.fm | Pre@20, MRR@20 | No |
| 11 | Unsupervised Proxy Selection for Session-based Recommender Systems | SIGIR'21 | RepeatNet, ) STAMP, GRU4Rec, NARM, GRec, SASRec, CSRM, FGNN, SR-GNN, GCE-GNN | RetailRocket, Diginetica, LastFM | Rec@(5,10,20), MRR@(5,10,20) | No |
| 12 | Temporal Augmented Graph Neural Networks for Session-based Recommendations | SIGIR'21 | GRU4REC, LESSR, SR-GNN, CSRM | Aotm, Diginetica, Retailrocket | Rec@(20,50), NDCG@100 | No |
| 13 | An Attribute-Driven Mirror Graph Network for Session-based Recommendation | SIGIR'22 | FPMC, GRU4REC, NARM, STAMP, SR-GNN, GCE-GNN, S-DHCN, COTREC | Tmall, Diginetica, 30music | Pre@(10,20) MRR@(10,20) | Yes |
| 14 | Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation | SIGIR'22 | GRU4Rec, S-POP, SKNN, Bert4Rec, DHC, SR-GNN, LESSR, NARM, COTREC | Cosmetics, Amazon, Diginetica | Pre@20, MRR@20 | Yes |
| 15 | AutoGSR: Neural Architecture Search for Graph-based Session Recommendation | SIGIR'22 | POP, FPMC, GRU4Rec, Item-KNN, STAMP, NARM, CSRM, SR-GNN, GC-SAN, CoSAN, LESSR, MetaNet, GCE-GNN | Diginetica, RSC15, Tmall | Pre@20, MRR@20 | No |
| 16 | Multi-Faceted Global Item Relation Learning for Session-Based Recommendation | SIGIR'22 | FPMC, GRU4Rec, NARM, STAMP, SR-GNN, FGNN, GCE-GNN, MTD, DHCN | Tmall, RetailRocket, Last.fm | Pre@20, MRR@20 | Yes |
| 17 | Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation | SIGIR'22 | CBCF, SGNNHN, GRU4Rec, SASRec, SRGNN, STAN, STAMP | Globo, Adressa, MIND | HR@20, NDCG@20 | Yes |
| 18 | Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation | SIGIR'22 | FPMC Item-KN, GRU4Rec, STAMP, NARM, FGNN, SHARE, SR-GNN, GCE-GNN, DHCN | Tmall, Last.fm | Pre@(10,20) MRR@(10,20) | No |
| 19 | DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation | SIGIR'22 | POP, NARM, FPMC, GRU4Rec, SR-GNN, GRU4Rec, NARM, item-KNN, SR-GNN | Tmall, Tafeng | Rec@(20,40), NDCG@(20,40) | No |
| 20 | CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space | SIGIR'22 | FPMC, GRU4Rec, NARM, SR-GNN, LESSR, SASRec, CL4Rec, SGNN-HN, GC-SAN, NISER+ | Diginetica, Nowplaying, RetailRocket, Tmall, RSC15 | Rec@20, MRR@20 | Yes |
| 21 | Explainable Session-based Recommendation with Meta-Path Guided Instances and Self-Attention Mechanism | SIGIR'22 | MKM-SR, STAMP, GCE-GNN, SR-GNN | Amazon, Automotives, Diginetica, Amazon Musical Instruments |
HR@20, MRR@20 | No |
| 22 | Graph Neighborhood Routing and Random Walk for Session-based Recommendation | ICDM'21 | BPR-MF, FPMC, Item-KNN, NARM, STAMP, CSRM, SR-GNN, TAGNN, DGTN, GCE-GNN | RSC15, Digineitca | HR@20, MRR@20 | Yes |
| 23 | Handling Information Loss of Graph Neural Networks for Session-based Recommendation | KDD'20 | Item-KNN, FPMC, NextItNet, NARM, FGNN, SR-GN, GC-SAN | Diginetica, Gowalla, Last.fm | HR@20, MRR@20 | Yes |
| 24 | S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks | WSDM'22 | SR, AR, STAMP, NARM, SR-GNN, NISER+, GCE-GNN, SLIST, STAN | RSC15, Diginetica, RetailRocket | Rec@20, MRR@20, HR@20 | Yes |
| 25 | Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation | WSDM'22 | ItemKNN, GRU4Rec, NARM, H-RNN, SR-GNN, A-PGNN, GCE-GNN, LESSR | Last.fm, Xing, Reddit | HR@(5,10) MRR@(5,10) | Yes |
| 26 | Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation | WSDM'22 | Item-KN, GRU4Rec, NARM, SR-GNN, LESSR, SHARE, GC-SAN, NISER+, SGNN-HN | Diginetica, Gowalla, Last.FM, RSC15 | HR@20, MRR@20 | Yes |
| 27 | An Efficient and Effective Framework for Session-based Social Recommendation | WSDM'21 | ItemKNN, FPMC, NextItNet, NARM, STAMP, SR-GNN, SSRM, SNARM, SSTAMP, DGRec, SSSRM, SSR-GNN, SNextItNet | Gowalla, Delicious, Foursquare |
HR@(10,20) MRR@(10,20) | Yes |
| 28 | Star Graph Neural Networks for Session-based Recommendation | CIKM'20 | FPMC, GRU4REC, S-POP, STAMP, NARM, CSRM, SR-IEM, SR-GNN, NISER | RSC15, Diginetica | Pre@20, MRR@20 | No |
| 29 | CBML: A Cluster-based Meta-learning Model for Session-based Recommendation | CIKM'21 | SR-GNN, TAGNN, GC-SAN, IF-SAN, Multi-FT, MeLU, MetaHIN | RSC15, Diginetica | HR@5, MRR@5, NDCG@5 | No |
| 30 | Self-Supervised Graph Co-Training for Session-based Recommendation | CIKM'21 | GRU4RE, FPMC, NARM, STAMP, SR-GNN, DHCN, GCE-GNN | Tmall, RetailRocket, Diginetica | Pre@(10,20), MRR@(10,20) | Yes |
| 31 | Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation | CIKM'22 | NARM, SR-GNN, LESSR, SGNN-HN, GCE-GNN, DAT-MDI, NISER+, TiSASRec, TGSRec, TMI-GNN | Gowala, Tmall, Nowplaying | MRR@(10,20), HR@(10,20) | Yes |
| 32 | Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks | CIKM'22 | Item-KNN, FPMC, SA-GCN, CrossMap, HAN, GRU4Rec, NARM, STAMP, SR-GNN, SERec, GCE-GNN, DHCN | Beijing, Shanghai | Pre@(5,10,20), MRR@(5,10,20) | Yes |
| 33 | Modeling Latent Autocorrelation for Session-based Recommendation | CIKM'22 | GRU4REC, FPMC, NARM, STAMP, SR-GNN, SASRec, BERT4REC, DHCN | RetailRocket, Tmall | Pre@(10,20), MRR@(10,20) | No |
| 34 | Fusion of Latent Categorical Prediction and Sequential Prediction for Session-based Recommendation | Information Sciences (IF-5.524) Elsevier [2021] | POP, Item-KNN, FPMC, NextItNet, NARM, STAMP, SR-GNN | RSC15, Gowalla, Last.fm | HR@20, MRR@20 | Yes |
| 35 | Learning Sequential and General Interests via A Joint Neural Model for session-based recommendation | Neurocomputing (IF-5.719), Elsevier [2020] | POP, S-POP, Item-KNN, BPR-MF, FPMC, GRU4REC, NARM, STAMP, SR-GNN | RSC15, Diginetica | Pre@20, MRR@20 | Yes |
| 36 | Category-aware Multi-relation Heterogeneous Graph Neural Networks for Session-based Recommendation | Knowledge-based systems (IF-8.038), Elsevier [2022] | POP, Item-KNN, FPMC, GRU4Rec, NARM, STAMP, SR-GNN, Case4SR, GCE-GNN, DHCN | Tmall, Nowplaying, Diginetica | Pre@(10,20), MRR@(10,20) | Yes |