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08/28/2023
Can Transformer and GNN Help Each Other?
Although Transformer has achieved great success in natural language proc...
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08/21/2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Machine learning has demonstrated remarkable performance over finite dat...
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08/05/2023
ConvFormer: Revisiting Transformer for Sequential User Modeling
Sequential user modeling, a critical task in personalized recommender sy...
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05/23/2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
Embedding models have shown great power in knowledge graph completion (K...
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05/23/2023
Continual Learning on Dynamic Graphs via Parameter Isolation
Many real-world graph learning tasks require handling dynamic graphs whe...
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02/23/2023
Generative Sentiment Transfer via Adaptive Masking
Sentiment transfer aims at revising the input text to satisfy a given se...
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10/26/2022
Learning on Large-scale Text-attributed Graphs via Variational Inference
This paper studies learning on text-attributed graphs (TAGs), where each...
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10/18/2022
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction
Bilingual lexicon induction induces the word translations by aligning in...
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10/17/2022
Test-Time Training for Graph Neural Networks
Graph Neural Networks (GNNs) have made tremendous progress in the graph ...
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08/31/2022
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing
Image retrieval systems help users to browse and search among extensive ...
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08/02/2022
Geometric Interaction Augmented Graph Collaborative Filtering
Graph-based collaborative filtering is capable of capturing the essentia...
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06/26/2022
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
Session-based recommendation (SBR) aims to predict the user next action ...
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06/26/2022
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation
Session-based recommendation (SBR) aims to predict the user next action ...
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05/28/2022
Going Deeper into Permutation-Sensitive Graph Neural Networks
The invariance to permutations of the adjacency matrix, i.e., graph isom...
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05/22/2022
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
A large-scale recommender system usually consists of recall and ranking ...
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02/16/2022
HousE: Knowledge Graph Embedding with Householder Parameterization
The effectiveness of knowledge graph embedding (KGE) largely depends on ...
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01/14/2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
Ad-hoc search calls for the selection of appropriate answers from a mass...
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12/14/2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Graph neural networks (GNNs) have been widely applied in the recommendat...
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10/25/2021
Gophormer: Ego-Graph Transformer for Node Classification
Transformers have achieved remarkable performance in a myriad of fields ...
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08/10/2021
Localized Graph Collaborative Filtering
User-item interactions in recommendations can be naturally de-noted as a...
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05/06/2021
GraphFormers: GNN-nested Language Models for Linked Text Representation
Linked text representation is critical for many intelligent web applicat...
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04/25/2021
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
Sponsored search ads appear next to search results when people look for ...
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08/31/2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
Deep neural networks (DNNs) can fit (or even over-fit) the training data...
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03/07/2019
Multi-Hot Compact Network Embedding
Network embedding, as a promising way of the network representation lear...
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11/02/2016