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08/13/2023
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
In recommendation systems (RS), user behavior data is observational rath...
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07/26/2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Graph Neural Networks have emerged as an effective machine learning tool...
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06/17/2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Graph Neural Networks (GNNs) have emerged as the de facto standard for r...
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05/31/2023
A Geometric Perspective on Diffusion Models
Recent years have witnessed significant progress in developing efficient...
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04/15/2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
Temporal graphs exhibit dynamic interactions between nodes over continuo...
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04/15/2023
Transition Propagation Graph Neural Networks for Temporal Networks
Researchers of temporal networks (e.g., social networks and transaction ...
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12/28/2022
Robust Sequence Networked Submodular Maximization
In this paper, we study the Robust optimization for sequence Networked s...
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11/22/2022
Accelerating Diffusion Sampling with Classifier-based Feature Distillation
Although diffusion model has shown great potential for generating higher...
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06/07/2022
Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation
Knowledge graph embedding (KGE) has been intensively investigated for li...
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03/26/2022
Knowledge Distillation with the Reused Teacher Classifier
Knowledge distillation aims to compress a powerful yet cumbersome teache...
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01/07/2022
High-contrast, speckle-free, true 3D holography via binary CGH optimization
Holography is a promising approach to implement the three-dimensional (3...
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12/28/2021
Online Adversarial Distillation for Graph Neural Networks
Knowledge distillation has recently become a popular technique to improv...
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11/23/2021
Learning Dynamic Preference Structure Embedding From Temporal Networks
The dynamics of temporal networks lie in the continuous interactions bet...
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11/23/2021
Real-time intelligent big data processing: technology, platform, and applications
Human beings keep exploring the physical space using information means. ...
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09/14/2021
Exploring the Connection between Knowledge Distillation and Logits Matching
Knowledge distillation is a generalized logits matching technique for mo...
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11/16/2020
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
Sampling strategies have been widely applied in many recommendation syst...
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11/16/2020
SamWalker++: recommendation with informative sampling strategy
Recommendation from implicit feedback is a highly challenging task due t...
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03/04/2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
Recommendation from implicit feedback is a highly challenging task due t...
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12/01/2019
Online Knowledge Distillation with Diverse Peers
Distillation is an effective knowledge-transfer technique that uses pred...
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03/15/2016
Scalable Image Retrieval by Sparse Product Quantization
Fast Approximate Nearest Neighbor (ANN) search technique for high-dimens...
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05/20/2012