| Feb 11, 2025 |
One paper “Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier” has been selected to be presented as a Spotlight at ICLR 2025.
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| Feb 01, 2025 |
One paper “Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models” has been accepted by STOC 2025!
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| Jan 23, 2025 |
The ALGO Lab is pleased to announce the release of the graph machine learning library Jittor Geometric, which provides detailed optimizations in graph storage, graph computation, and graph learning. It integrates and accelerates various existing graph neural network models, improving model runtime by 10% to 50% across multiple graph learning tasks compared to similar frameworks like Pytorch Geometric (PyG) and Deep Graph Library (DGL). Everyone is welcome to try it out!
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| Jan 23, 2025 |
Two paper “Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier” and “TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics” has been accepted by ICLR 2025.
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| Nov 29, 2024 |
One paper “A Survey of Estimating Number of Distinct Values” has been accepted by FCS 2025.
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| Nov 26, 2024 |
One paper “Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling” has been accepted by TKDE 2025.
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| Nov 17, 2024 |
Two papers “Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method” and “Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification” have been accepted by KDD 2025.
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| Nov 15, 2024 |
One paper “PRICE: A Pretrained Model for Cross-Database Cardinality Estimation” has been accepted by VLDB 2025.
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| Sep 26, 2024 |
Two papers “Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level” and “S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search” have been accepted by NeurIPS 2024.
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| Sep 20, 2024 |
One paper “SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent” has been accepted by EMNLP 2024 Findings.
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| Aug 29, 2024 |
The paper “Optimal Matrix Sketching over Sliding Windows” has been awarded “Best Research Paper Nomination” at VLDB 2024!
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| Jul 15, 2024 |
Two papers “Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks” and “Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning” have been accepted by CIKM 2024.
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| May 17, 2024 |
One paper “PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer” has been accepted by KDD 2024.
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| May 01, 2024 |
One paper “EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction” has been accepted by ICML 2024.
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| Apr 15, 2024 |
One paper “Optimal Matrix Sketching over Sliding Windows” has been accepted by VLDB 2024.
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| Mar 18, 2024 |
One paper “A Survey of Dynamic Graph Neural Networks” has been accepted by FCS 2024.
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| Mar 18, 2024 |
One paper “When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture” has been accepted by TKDE 2024.
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| Mar 14, 2024 |
One paper “HierAffinity: Predicting Protein-Ligand Binding Affinity with Hierarchical Modeling” has been accepted by DASFAA 2024.
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| Mar 11, 2024 |
One paper “A Survey on Large Language Model based Autonomous Agents” has been accepted by FCS 2024.
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| Mar 01, 2024 |
One paper “Efficient Algorithms for Personalized PageRank Computation: A Survey” has been accepted by TKDE 2024.
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| Feb 22, 2024 |
One paper “Learning-based Property Estimation with Polynomials” has been accepted by SIGMOD 2024.
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