Xiangnan He
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Computer Science
Xiangnan He's Degrees
- Bachelors Computer Science University of Science and Technology of China
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(Suggest an Edit or Addition)Xiangnan He's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Neural Collaborative Filtering (2017) (3818)
- Neural Graph Collaborative Filtering (2019) (1335)
- LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (2020) (1123)
- Neural Factorization Machines for Sparse Predictive Analytics (2017) (986)
- KGAT: Knowledge Graph Attention Network for Recommendation (2019) (904)
- Fast Matrix Factorization for Online Recommendation with Implicit Feedback (2016) (832)
- Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention (2017) (653)
- Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks (2017) (644)
- Explainable Reasoning over Knowledge Graphs for Recommendation (2018) (419)
- TriRank: Review-aware Explainable Recommendation by Modeling Aspects (2015) (407)
- NAIS: Neural Attentive Item Similarity Model for Recommendation (2018) (358)
- Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences (2019) (332)
- Attributed Social Network Embedding (2017) (319)
- A Simple Convolutional Generative Network for Next Item Recommendation (2018) (295)
- Adversarial Personalized Ranking for Recommendation (2018) (290)
- Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures (2018) (276)
- Self-supervised Graph Learning for Recommendation (2020) (275)
- Outer Product-based Neural Collaborative Filtering (2018) (264)
- Bias and Debias in Recommender System: A Survey and Future Directions (2020) (262)
- Discrete Collaborative Filtering (2016) (236)
- Video Question Answering via Gradually Refined Attention over Appearance and Motion (2017) (228)
- Item Silk Road: Recommending Items from Information Domains to Social Users (2017) (222)
- TEM: Tree-enhanced Embedding Model for Explainable Recommendation (2018) (217)
- MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video (2019) (207)
- Deep Item-based Collaborative Filtering for Top-N Recommendation (2018) (206)
- Disentangled Graph Collaborative Filtering (2020) (199)
- Attentive Moment Retrieval in Videos (2018) (196)
- Temporal Relational Ranking for Stock Prediction (2018) (196)
- A Generic Coordinate Descent Framework for Learning from Implicit Feedback (2016) (194)
- Generative Adversarial Active Learning for Unsupervised Outlier Detection (2018) (183)
- Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering (2019) (177)
- A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction (2018) (157)
- Aesthetic-based Clothing Recommendation (2018) (156)
- Attentive Group Recommendation (2018) (151)
- BiNE: Bipartite Network Embedding (2018) (143)
- Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems (2020) (139)
- Causal Intervention for Leveraging Popularity Bias in Recommendation (2021) (136)
- Learning Intents behind Interactions with Knowledge Graph for Recommendation (2021) (134)
- Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure (2019) (133)
- Multi-behavior Recommendation with Graph Convolutional Networks (2020) (129)
- BiRank: Towards Ranking on Bipartite Graphs (2017) (129)
- Enhancing Stock Movement Prediction with Adversarial Training (2018) (123)
- Counterfactual Critic Multi-Agent Training for Scene Graph Generation (2018) (119)
- Reinforced Negative Sampling over Knowledge Graph for Recommendation (2020) (119)
- Discrete Multimodal Hashing With Canonical Views for Robust Mobile Landmark Search (2017) (116)
- Interactive Path Reasoning on Graph for Conversational Recommendation (2020) (116)
- Disentangling User Interest and Conformity for Recommendation with Causal Embedding (2021) (109)
- Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation (2019) (107)
- Predicting the popularity of web 2.0 items based on user comments (2014) (101)
- Advances and Challenges in Conversational Recommender Systems: A Survey (2021) (100)
- Neural Multi-task Recommendation from Multi-behavior Data (2018) (98)
- Adversarial Training Towards Robust Multimedia Recommender System (2018) (94)
- Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System (2020) (94)
- Comment-based multi-view clustering of web 2.0 items (2014) (91)
- Embedding Factorization Models for Jointly Recommending Items and User Generated Lists (2017) (91)
- Enhancing Micro-video Understanding by Harnessing External Sounds (2017) (88)
- Knowledge-aware Multimodal Dialogue Systems (2018) (87)
- Cross-domain Recommendation Without Sharing User-relevant Data (2019) (86)
- Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation (2020) (85)
- Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts (2017) (83)
- Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue (2020) (82)
- Graph Learning based Recommender Systems: A Review (2021) (77)
- Reinforced Negative Sampling for Recommendation with Exposure Data (2019) (77)
- KGAT (2019) (74)
- AutoDebias: Learning to Debias for Recommendation (2021) (73)
- Context-aware Image Tweet Modelling and Recommendation (2016) (73)
- Denoising Implicit Feedback for Recommendation (2020) (72)
- MGAT: Multimodal Graph Attention Network for Recommendation (2020) (70)
- How to Retrain Recommender System?: A Sequential Meta-Learning Method (2020) (69)
- Fast Scalable Supervised Hashing (2018) (68)
- Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation (2019) (67)
- CFM: Convolutional Factorization Machines for Context-Aware Recommendation (2019) (67)
- Modeling Extreme Events in Time Series Prediction (2019) (66)
- Improving Implicit Recommender Systems with View Data (2018) (66)
- An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data (2018) (65)
- Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback (2020) (65)
- Attentive Aspect Modeling for Review-Aware Recommendation (2018) (64)
- Learning to Compose and Reason with Language Tree Structures for Visual Grounding (2019) (64)
- Interpretable Fashion Matching with Rich Attributes (2019) (61)
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks (2019) (61)
- Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network (2019) (60)
- Deep Learning for Matching in Search and Recommendation (2018) (59)
- Cross-Domain Depression Detection via Harvesting Social Media (2018) (57)
- Shorter-is-Better: Venue Category Estimation from Micro-Video (2016) (57)
- Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users (2020) (57)
- Interpretable Multimodal Retrieval for Fashion Products (2018) (55)
- Deconfounded Recommendation for Alleviating Bias Amplification (2021) (55)
- Discovering Invariant Rationales for Graph Neural Networks (2022) (54)
- Modeling Personalized Item Frequency Information for Next-basket Recommendation (2020) (53)
- Bundle Recommendation with Graph Convolutional Networks (2020) (52)
- Bilinear Graph Neural Network with Neighbor Interactions (2020) (51)
- Mining Scientific Terms and their Definitions: A Study of the ACL Anthology (2013) (51)
- Fast Matrix Factorization With Nonuniform Weights on Missing Data (2018) (50)
- A Survey of Adversarial Learning on Graphs (2020) (49)
- LightGCN (2020) (49)
- Hierarchical Fashion Graph Network for Personalized Outfit Recommendation (2020) (48)
- On the Equivalence of Decoupled Graph Convolution Network and Label Propagation (2020) (44)
- A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions (2021) (44)
- Social-Enhanced Attentive Group Recommendation (2019) (44)
- Price-aware Recommendation with Graph Convolutional Networks (2020) (44)
- Learning on Partial-Order Hypergraphs (2018) (43)
- SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition (2017) (43)
- VELDA: Relating an Image Tweet's Text and Images (2015) (39)
- Modelling High-Order Social Relations for Item Recommendation (2020) (38)
- HoAFM: A High-order Attentive Factorization Machine for CTR Prediction (2020) (38)
- Learning to Recommend With Multiple Cascading Behaviors (2018) (38)
- Sets2Sets: Learning from Sequential Sets with Neural Networks (2019) (37)
- fBGD: Learning Embeddings From Positive Unlabeled Data with BGD (2018) (36)
- A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation (2021) (35)
- Conversational Recommendation: Formulation, Methods, and Evaluation (2020) (35)
- Graph Neural Networks for Recommender System (2022) (34)
- Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method (2020) (32)
- Discrete Factorization Machines for Fast Feature-based Recommendation (2018) (31)
- BiNE (2018) (31)
- Adversarial Attack on Large Scale Graph (2020) (31)
- Version-sensitive mobile App recommendation (2017) (31)
- Sampler Design for Bayesian Personalized Ranking by Leveraging View Data (2018) (30)
- A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation (2021) (30)
- One Person, One Model, One World: Learning Continual User Representation without Forgetting (2020) (30)
- Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning (2020) (28)
- λOpt: Learn to Regularize Recommender Models in Finer Levels (2019) (28)
- Towards Multi-Grained Explainability for Graph Neural Networks (2021) (27)
- A Survey on Large-Scale Machine Learning (2020) (26)
- Hierarchical Attention Network for Visually-Aware Food Recommendation (2018) (26)
- STRONG: Spatio-Temporal Reinforcement Learning for Cross-Modal Video Moment Localization (2020) (26)
- Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network (2020) (25)
- Causal Representation Learning for Out-of-Distribution Recommendation (2022) (24)
- Multiview and Multimodal Pervasive Indoor Localization (2017) (23)
- Hierarchical User Intent Graph Network for Multimedia Recommendation (2022) (23)
- "Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue (2020) (20)
- DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network (2021) (20)
- Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions (2020) (20)
- A Personal Privacy Preserving Framework: I Let You Know Who Can See What (2018) (20)
- A Truthful Incentive Mechanism for Online Recruitment in Mobile Crowd Sensing System (2017) (20)
- Improving Neural Relation Extraction with Implicit Mutual Relations (2019) (20)
- Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines (2020) (20)
- Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval (2018) (19)
- MMGCN (2019) (18)
- Mixed-dish Recognition with Contextual Relation Networks (2019) (18)
- Graph Learning Approaches to Recommender Systems: A Review (2020) (18)
- How Personality Affects our Likes: Towards a Better Understanding of Actionable Images (2017) (18)
- Beyond the Product: Discovering Image Posts for Brands in Social Media (2018) (17)
- Graph convolution machine for context-aware recommender system (2020) (17)
- Empowering Language Understanding with Counterfactual Reasoning (2021) (17)
- A Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution (2018) (16)
- Batch IS NOT Heavy: Learning Word Representations From All Samples (2018) (16)
- Selective Dependency Aggregation for Action Classification (2021) (16)
- Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering (2019) (15)
- Knowledge-Based Topic Model for Multi-Modal Social Event Analysis (2020) (14)
- Improving Implicit Recommender Systems with Auxiliary Data (2020) (14)
- Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation (2020) (13)
- ATM: An Attentive Translation Model for Next-Item Recommendation (2020) (13)
- Let Invariant Rationale Discovery Inspire Graph Contrastive Learning (2022) (13)
- Visually aware recommendation with aesthetic features (2019) (13)
- Causal Inference in Recommender Systems: A Survey and Future Directions (2022) (13)
- Learning Vertex Representations for Bipartite Networks (2019) (13)
- M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences (2021) (12)
- CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System (2022) (12)
- How to Learn Item Representation for Cold-Start Multimedia Recommendation? (2020) (12)
- Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation (2021) (12)
- Learning and Reasoning on Graph for Recommendation (2019) (11)
- Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning (2022) (11)
- Time-aware Path Reasoning on Knowledge Graph for Recommendation (2021) (11)
- Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021 (2021) (11)
- λOpt (2019) (10)
- Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis (2022) (10)
- Learning and Reasoning on Graph for Recommendation (2020) (10)
- KuaiRec: A Fully-observed Dataset for Recommender Systems (2022) (10)
- Causal Attention for Interpretable and Generalizable Graph Classification (2021) (9)
- Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding (2020) (9)
- Group Contextualization for Video Recognition (2022) (9)
- Bundle Recommendation and Generation With Graph Neural Networks (2023) (9)
- Reinforced Causal Explainer for Graph Neural Networks (2022) (9)
- Learning Robust Recommenders through Cross-Model Agreement (2021) (8)
- On the Effectiveness of Sampled Softmax Loss for Item Recommendation (2022) (8)
- Multimedia Recommender Systems: Algorithms and Challenges (2022) (8)
- Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network (2020) (8)
- Attention in Attention: Modeling Context Correlation for Efficient Video Classification (2022) (8)
- Causal Incremental Graph Convolution for Recommender System Retraining (2021) (8)
- Structure-Enhanced Meta-Learning For Few-Shot Graph Classification (2021) (7)
- Cross Pairwise Ranking for Unbiased Item Recommendation (2022) (7)
- Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction (2019) (7)
- Learning Recommender Systems from Multi-Behavior Data (2018) (7)
- Cross-domain Recommendation with Bridge-Item Embeddings (2021) (7)
- KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos (2022) (7)
- A Simple but Hard-to-Beat Baseline for Session-based Recommendations (2018) (7)
- User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations (2021) (7)
- CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation (2020) (6)
- CatGCN: Graph Convolutional Networks With Categorical Node Features (2020) (6)
- KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems (2022) (6)
- Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media (2017) (6)
- Mitigating Hidden Confounding Effects for Causal Recommendation (2022) (6)
- Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial (2018) (6)
- Modeling Product’s Visual and Functional Characteristics for Recommender Systems (2020) (6)
- Deep Learning for Matching in Search and Recommendation (2019) (6)
- Learning Subjective Attributes of Images from Auxiliary Sources (2019) (6)
- Generating Face Images With Attributes for Free (2020) (5)
- Addressing Confounding Feature Issue for Causal Recommendation (2022) (5)
- Video-based recipe retrieval (2020) (5)
- Improving Stock Movement Prediction with Adversarial Training (2018) (4)
- A KG-Enhanced Multi-Graph Neural Network for Attentive Herb Recommendation (2021) (4)
- Deconfounding to Explanation Evaluation in Graph Neural Networks (2022) (4)
- Sets2Sets (2019) (4)
- IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search (2022) (4)
- NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations (2020) (3)
- Visually-aware Collaborative Food Recommendation (2018) (3)
- Bilinear Graph Neural Network with Node Interactions (2020) (3)
- Socializing the Videos: A Multimodal Approach for Social Relation Recognition (2021) (3)
- LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization (2022) (3)
- Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning (2020) (3)
- Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation (2022) (3)
- GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation. (2022) (3)
- A Deep Learning Framework for Self-evolving Hierarchical Community Detection (2021) (3)
- Incorporating Price into Recommendation With Graph Convolutional Networks (2023) (3)
- Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning (2020) (3)
- Rumor detection with self-supervised learning on texts and social graph (2022) (2)
- Deconfounded Training for Graph Neural Networks (2021) (2)
- Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation (2022) (2)
- Self-Supervised Learning for Recommender System (2022) (2)
- Invariant Representation Learning for Multimedia Recommendation (2022) (2)
- Summary of Tutorials at The Web Conference 2021 (2021) (2)
- Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs (2018) (2)
- Modeling the Past and Future Contexts for Session-based Recommendation (2019) (2)
- Boosting Hyperspectral Image Classification with Dual Hierarchical Learning (2022) (2)
- A-FMI: Learning Attributions from Deep Networks via Feature Map Importance (2020) (2)
- Interpolative Distillation for Unifying Biased and Debiased Recommendation (2022) (2)
- Multi-directional Knowledge Transfer for Few-Shot Learning (2022) (1)
- On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner (2020) (1)
- Alibaba-Translate China’s Submission for WMT 2022 Quality Estimation Shared Task (2022) (1)
- GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation (2022) (1)
- Differentiable Invariant Causal Discovery (2022) (1)
- Alleviating Structural Distribution Shift in Graph Anomaly Detection (2023) (1)
- Weakly Supervised Anomaly Detection: A Survey (2023) (1)
- Learning Robust Recommender from Noisy Implicit Feedback (2021) (1)
- Adversarial Causal Augmentation for Graph Covariate Shift (2022) (1)
- Modeling Personalized Out-of-Town Distances in Location Recommendation (2020) (1)
- Probabilistic and Variational Recommendation Denoising (2021) (1)
- Exploring lottery ticket hypothesis in media recommender systems (2021) (1)
- Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation (2023) (1)
- Unsupervised Video Hashing with Multi-granularity Contextualization and Multi-structure Preservation (2022) (1)
- FinIR 2020: The First Workshop on Information Retrieval in Finance (2020) (1)
- TEM (2018) (1)
- DisenKGAT (2021) (0)
- Unbiased Knowledge Distillation for Recommendation (2022) (0)
- Learning to Double-Check Model Prediction From a Causal Perspective. (2023) (0)
- Spatio-Temporal Collaborative Module for Efficient Action Recognition (2022) (0)
- A Composite of Heterogeneous Sources Recommenders (CHR) (2020) (0)
- Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors (2023) (0)
- Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation (2023) (0)
- Special issue on multimedia recommendation and multi-modal data analysis (2019) (0)
- Recording How-Provenance on Probabilistic Databases (2010) (0)
- Recommendation Technologies for Multimedia Content (2018) (0)
- Differential spread strategy: An incentive for advertisement dissemination (2015) (0)
- Learning Visual Elements of Images for Discovery of Brand Posts (2020) (0)
- KuaiRec (2022) (0)
- Self-Supervised Learning for Recommendation (2022) (0)
- Database Images Multi-modal Canonical View Mining Discrete Binary Embedding Visual Preserving Latent Structure Extraction Discrete Optimiation Canonical (2018) (0)
- Hierarchical Hourglass Convolutional Network for Efficient Video Classification (2022) (0)
- Bi-directional Distribution Alignment for Transductive Zero-Shot Learning (2023) (0)
- TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) (0)
- Recursive Grounding Pruning Input Language the skis of the man in the red jacket skis of man in red jacket RvG-Tree Constructor (2019) (0)
- Aentive Group Recommendation (2018) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Mixed-dish recognition with contextual relation networks Mixed-dish recognition with contextual relation networks (2020) (0)
- Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems CCIS 2019 (2019) (0)
- Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1 (2021) (0)
- SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities (2017) (0)
- Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network (2022) (0)
- FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion (2023) (0)
- Cooperative Explanations of Graph Neural Networks (2023) (0)
- Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP (2022) (0)
- Accepted Tutorials at The Web Conference 2022 (2022) (0)
- Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum (2023) (0)
- On the Theories Behind Hard Negative Sampling for Recommendation (2023) (0)
- Time horizon-aware modeling of financial texts for stock price prediction (2021) (0)
- Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2 (2021) (0)
- Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation (2023) (0)
- GIF: A General Graph Unlearning Strategy via Influence Function (2023) (0)
- For Peer Review O nly (2017) (0)
- Generative Recommendation: Towards Next-generation Recommender Paradigm (2023) (0)
- Graph-based Aspect Representation Learning for Entity Resolution (2020) (0)
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