1 code implementation • 23 Jan 2025 • Taoran Fang, Tianhong Gao, Chunping Wang, Yihao Shang, Wei Chow, Lei Chen, Yang Yang
Graph neural networks (GNNs) with attention mechanisms, often referred to as attentive GNNs, have emerged as a prominent paradigm in advanced GNN models in recent years.
1 code implementation • 25 Nov 2024 • Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao, Long Chen
For causal generation, it introduces unidirectional feature computation, which ensures that the cache of conditional frames can be precomputed in previous autoregression steps and reused in every subsequent step, eliminating redundant computations.
1 code implementation • 6 Nov 2024 • Hanyang Yuan, Jiarong Xu, Renhong Huang, Mingli Song, Chunping Wang, Yang Yang
Our method only requires training a small set of models on graphs, while generating a sufficient number of approximated shadow models for attacks.
1 code implementation • 30 Sep 2024 • Changfeng Feng, Zhenyuan Chen, Renke Kou, Guangwei Gao, Chunping Wang, Xiang Li, Xiangbo Shu, Yimian Dai, Qiang Fu, Jian Yang
By observing the significant variations in object scale and clarity under different depth and haze conditions, we designed a Depth Conditioned Detector (DeCoDet) to incorporate this prior knowledge.
no code implementations • 26 Jul 2024 • Hanyang Yuan, Jiarong Xu, Cong Wang, Ziqi Yang, Chunping Wang, Keting Yin, Yang Yang
The public sharing of user information opens the door for adversaries to infer private data, leading to privacy breaches and facilitating malicious activities.
1 code implementation • 16 Jun 2024 • Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao
Inspired from the huge success of large language models (LLMs) and following GPT (generative pre-trained transformer), we bring causal (i. e., unidirectional) generation into VDMs, and use past frames as prompt to generate future frames.
no code implementations • 27 May 2024 • Weiquan Wang, Jun Xiao, Chunping Wang, Wei Liu, Zhao Wang, Long Chen
Continuous diffusion models have demonstrated their effectiveness in addressing the inherent uncertainty and indeterminacy in monocular 3D human pose estimation (HPE).
no code implementations • 24 Apr 2024 • JiaMing Lei, Lin Li, Chunping Wang, Jun Xiao, Long Chen
This complex task usually involves three steps: verb recognition, semantic role grounding, and noun recognition.
1 code implementation • 14 Feb 2024 • Linfeng Cao, Haoran Deng, Yang Yang, Chunping Wang, Lei Chen
In this paper, we argue that properly fetching and condensing the background nodes from massive web graph data might be a more economical shortcut to tackle the obstacles fundamentally.
no code implementations • 3 Feb 2024 • Xuanwen Huang, Wei Chow, Yize Zhu, Yang Wang, Ziwei Chai, Chunping Wang, Lei Chen, Yang Yang
Extensive experiments on eight untrained graphs demonstrate that DyExpert achieves state-of-the-art performance in cross-domain link prediction.
1 code implementation • 21 Dec 2023 • Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen
In this paper, we identify the fundamental cause of structural divergence as the discrepancy of generative patterns between the pre-training and downstream graphs.
Ranked #1 on
Graph Classification
on PROTEINS
(Accuracy (10 fold) metric)
1 code implementation • 20 Dec 2023 • Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang
Extensive experiments show that our model achieves the best trade-off between accuracy and the fairness of model gradient, as well as superior payoff fairness.
1 code implementation • NeurIPS 2023 • Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang
The proposed pre-training pipeline is called the data-active graph pre-training (APT) framework, and is composed of a graph selector and a pre-training model.
1 code implementation • ICCV 2023 • Lin Li, Guikun Chen, Jun Xiao, Yi Yang, Chunping Wang, Long Chen
Specifically, we first decompose each relation triplet feature into two components: intrinsic feature and extrinsic feature, which correspond to the intrinsic characteristics and extrinsic contexts of a relation triplet, respectively.
1 code implementation • 29 Mar 2023 • Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang
All convex combinations of graphon bases give rise to a generator space, from which graphs generated form the solution space for those downstream data that can benefit from pre-training.
1 code implementation • NeurIPS 2023 • Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang, Lei Chen
In this paper, we introduce a universal prompt-based tuning method called Graph Prompt Feature (GPF) for pre-trained GNN models under any pre-training strategy.
1 code implementation • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence 2022 • Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen
We therefore propose a novel Structure-aware Path Aggregation Graph Neural Network (PathNet) aiming to generalize GNNs for both homophily and heterophily graphs.
Ranked #1 on
Node Classification
on Citeseer
(Accuracy (%) metric)
no code implementations • 30 Jun 2022 • Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis
Since GAD emphasizes the application and the rarity of anomalous samples, enriching the varieties of its datasets is fundamental work.
2 code implementations • 21 Apr 2022 • Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang
First, it is challenging to find a universal method that are suitable for all cases considering the divergence of different datasets and models.
no code implementations • 12 Dec 2020 • Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu
To bridge the gap between theoretical graph attacks and real-world scenarios, in this work, we propose a novel and more realistic setting: strict black-box graph attack, in which the attacker has no knowledge about the victim model at all and is not allowed to send any queries.
no code implementations • 4 Dec 2020 • Jiarong Xu, Yang Yang, Junru Chen, Chunping Wang, Xin Jiang, Jiangang Lu, Yizhou Sun
Additionally, we explore a provable connection between the robustness of the unsupervised graph encoder and that of models on downstream tasks.
1 code implementation • 30 Apr 2019 • Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang
Fairness has become a central issue for our research community as classification algorithms are adopted in societally critical domains such as recidivism prediction and loan approval.
no code implementations • 28 Nov 2018 • Jiangyi Liu, Chunping Wang, Wei Wang
Most multi-target tracking filters assume that one target and its observation follow a Hidden Markov Chain (HMC) model, but the implicit independence assumption of HMC model is invalid in many practical applications, and a Pairwise Markov Chain (PMC) model is more universally suitable than traditional HMC model.