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09/13/2023
OrdinalFix: Fixing Compilation Errors via Shortest-Path CFL Reachability
The development of correct and efficient software can be hindered by com...
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08/25/2023
DARWIN Series: Domain Specific Large Language Models for Natural Science
Emerging tools bring forth fresh approaches to work, and the field of na...
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07/19/2023
Efficient Non-Learning Similar Subtrajectory Search
Similar subtrajectory search is a finer-grained operator that can better...
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07/12/2023
DSPC: Efficiently Answering Shortest Path Counting on Dynamic Graphs
The widespread use of graph data in various applications and the highly ...
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06/17/2023
Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs
Logical query answering over Knowledge Graphs (KGs) is a fundamental yet...
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04/05/2023
Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT
The amount of data has growing significance in exploring cutting-edge ma...
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02/28/2023
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Spatial objects often come with textual information, such as Points of I...
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02/27/2023
Minimizing the Influence of Misinformation via Vertex Blocking
Information cascade in online social networks can be rather negative, e....
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02/19/2023
Dynamic Private Task Assignment under Differential Privacy
Data collection is indispensable for spatial crowdsourcing services, suc...
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02/16/2023
LabelPrompt: Effective Prompt-based Learning for Relation Classification
Recently, prompt-based learning has become a very popular solution in ma...
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11/16/2022
Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs
The shortest-path distance is a fundamental concept in graph analytics a...
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09/22/2022
Online Ridesharing with Meeting Points [Technical Report]
Nowadays, ridesharing becomes a popular commuting mode. Dynamically arri...
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09/13/2022
TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs
The Feedback vertex set with the minimum size is one of Karp's 21 NP-com...
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08/26/2022
Towards Higher-order Topological Consistency for Unsupervised Network Alignment
Network alignment task, which aims to identify corresponding nodes in di...
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08/12/2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
Heterogeneous graphs, which contain nodes and edges of multiple types, a...
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06/29/2022
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and Timbre
The capability of generating speech with specific type of emotion is des...
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04/01/2022
Balanced Clique Computation in Signed Networks: Concepts and Algorithms
Clique is one of the most fundamental models for cohesive subgraph minin...
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03/25/2022
Efficient k-clique Listing with Set Intersection Speedup [Technical Report]
Listing all k-cliques is a fundamental problem in graph mining, with app...
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01/25/2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
Subgraph matching is a fundamental problem in various fields that use gr...
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01/10/2022
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
With the development of traffic prediction technology, spatiotemporal pr...
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10/23/2021
Towards User Engagement Dynamics in Social Networks
The engagement of each user in a social network is an essential indicato...
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09/05/2021
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
Community detection, aiming to group the graph nodes into clusters with ...
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08/27/2021
Lyra: A Benchmark for Turducken-Style Code Generation
Code generation is crucial to reduce manual software development efforts...
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06/15/2021
Code Generation Based on Deep Learning: a Brief Review
Automatic software development has been a research hot spot in the field...
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05/03/2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Recent advances in reinforcement learning have inspired increasing inter...
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02/23/2021
Dynamic Labeling for Unlabeled Graph Neural Networks
Existing graph neural networks (GNNs) largely rely on node embeddings, w...
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12/21/2020
PEFP: Efficient k-hop Constrained s-t Simple Path Enumeration on FPGA
Graph plays a vital role in representing entities and their relationship...
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11/17/2020
Efficient and Effective Community Search on Large-scale Bipartite Graphs
Bipartite graphs are widely used to model relationships between two type...
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08/05/2020
Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs
We propose a novel cohesive subgraph model called τ-strengthened (α,β)-c...
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06/24/2020
Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems
Matrix Factorization (MF) has been widely applied in machine learning an...
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06/20/2020
AOT: Pushing the Efficiency Boundary of Main-memory Triangle Listing
Triangle listing is an important topic significant in many practical app...
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04/17/2020
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Interactive recommendation aims to learn from dynamic interactions betwe...
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01/26/2020
NLocalSAT: Boosting Local Search with Solution Prediction
The boolean satisfiability problem is a famous NP-complete problem in co...
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01/16/2020
Efficient Bitruss Decomposition for Large-scale Bipartite Graphs
Cohesive subgraph mining in bipartite graphs becomes a popular research ...
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11/20/2019
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning
Generalized zero-shot learning (GZSL) tackles the problem of learning to...
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06/27/2019
A Survey and Experimental Analysis of Distributed Subgraph Matching
Recently there emerge many distributed algorithms that aim at solving su...
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06/27/2019
K-Core Maximization through Edge Additions
A popular model to measure the stability of a network is k-core - the ma...
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04/29/2019
A Survey of Community Search Over Big Graphs
With the rapid development of information technologies, various big grap...
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10/26/2018
Efficient and High-Quality Seeded Graph Matching: Employing High Order Structural Information
Driven by many real applications, we study the problem of seeded graph m...
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09/03/2018
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search
In this paper, we study the problem of approximate containment similarit...
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07/04/2018
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
Driven by deep neural networks and large scale datasets, scene text dete...
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02/12/2018
Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks
Electroencephalography (EEG) signals reflect activities on certain brain...
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11/16/2017
An Optimal and Progressive Approach to Online Search of Top-k Influential Communities
Community search over large graphs is a fundamental problem in graph ana...
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10/31/2017
Dynamical SimRank Search on Time-Varying Networks
In this article, we study the efficient dynamical computation of all-pai...
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09/20/2017
Efficient Graph Edit Distance Computation and Verification via Anchor-aware Lower Bound Estimation
Graph edit distance (GED) is an important similarity measure adopted in ...
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01/18/2017
Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval
Given a query photo issued by a user (q-user), the landmark retrieval is...
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08/19/2016
